On Online Adaptive Direct Data Driven Control

Based on our recent contributions on direct data driven control scheme, this paper continues to do some new research on direct data driven control, paving another way for latter future work on advanced control theory. Firstly, adaptive idea is combined with direct data driven control, one parameter adjustment mechanism is constructed to design the parameterized controller online. Secondly, to show the input-output property for the considered closed loop system, passive analysis is studied to be similar with stability. Thirdly, to validate whether the designed controller is better or not, another safety controller modular is added to achieve the designed or expected control input with the essence of model predictive control. Finally, one simulation example confirms our proposed theories. More generally, this paper studies not only the controller design and passive analysis, but also some online algorithm, such as recursive parameter identification and online subgradient descent algorithm. Furthermore, safety controller modular is firstly introduced in direct data driven control scheme.

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Recent Advances on Hybrid Complex Networks: Analysis and Control

Submission Deadline: 31 October 2020

IEEE Access invites manuscript submissions in the area of Recent Advances on Hybrid Complex Networks: Analysis and Control.

Due to varied complexities such as network dynamics complexity, statistical complexity and so on, some complex networks involve more than one discipline. Among network dynamics, both  impulsive effects and logical dynamics have attracted increasing attention recently. It is of interest and importance to study the complex networks with impulsive effects and logical dynamics. Note that these networks are called hybrid complex networks, which widely exist in cells, ecology, social systems and communication engineering.

In hybrid complex networks, many nodes are coupled together through networks, and their properties lead to very complex dynamic behaviors, including discrete and continuous dynamic behaviors, with both the time and state space taking finite values. The continuous parts of systems are often described by differential equations, while the discrete parts can be described by difference equations. The logical networks are usually used to model the systems where time and state space take finite values. Although interesting work has been reported on hybrid complex networks, there is some conservativeness on both the analysis method and relevant results. To be specific, conservative impulsive delay inequalities were used in some literatures and corresponding stability or synchronization criteria seem hard to check. Therefore, it is necessary to find effective approaches to break some conservativeness on both the analysis method and relevant results of hybrid complex networks.

Our proposed Special Section will provide a valuable and timely platform for the exchange of the latest advances in hybrid complex networks.

The topics of interest include, but are not limited to:

  • Analysis of hybrid complex networks: stability/ synchronization/ consensus/ robustness/ complexity analysis/ controllability/ observability/ nonsingularity
  • Synthesis of hybrid complex networks: stabilization/ disturbances decoupling problem/ functions perturbations/ attacks/ optimization

We also highly recommend the submission of multimedia with each article as it significantly increases the visibility and downloads of articles.

 

Associate Editor:  Jianquan Lu, Southeast University, China

Guest Editors:

    1. Daniel W. C. Ho, City University of Hong Kong, Hong Kong, China
    2. Tingwen Huang, Texas A&M University, Qatar
    3. Jürgen Kurths, Potsdam Institute for Climate Impact Research, Germany
    4. Ljiljana Trajkovic, Simon Fraser University, Canada

 

Relevant IEEE Access Special Sections:

  1. Complex Networks Analysis and Engineering in 5G and beyond towards 6G
  2. Body Area Networks
  3. Internet-of-Things Attacks and Defenses: Recent Advances and Challenges


IEEE Access Editor-in-Chief:  Prof. Derek Abbott, University of Adelaide

Article submission: Contact Associate Editor and submit manuscript to:
http://ieee.atyponrex.com/journal/ieee-access

For inquiries regarding this Special Section, please contact: jqluma@seu.edu.cn.

Design and Analysis Techniques in Iterative Learning Control

Submission Deadline:  31 July 2019

IEEE Access invites manuscript submissions in the area of Design and Analysis Techniques in Iterative Learning Control.

Recently, great progress has been witnessed in both theory developments and practical applications of iterative learning control (ILC). ILC has been widely used in industry, for example, in chemical processes, robotic manipulators, hard disk drives, milling and laser cutting, traffic flow control systems, and rehabilitation robotic systems. With its rapid development, ILC has also encountered many theoretical and practical challenges including new system applications such as fractional-order systems, new operation environments such as networked structure and complex networks, and new technical innovations such as convergence analysis methods. Therefore, ILC is at a significant stage for making fundamental breakthroughs, which motivates this Special Section in IEEE Access.

Since the proposal of its original concept by Arimoto, et al., in 1984, ILC has developed rapidly over the last three decades. A survey by Bristow, Tharayil, and Alleyne, in IEEE Control Systems provided a comprehensive review of the fundamental framework of ILC and common design and analysis techniques. A comprehensive review was presented in another survey published by Ahn, Chen, and Moore, in IEEE Transactions on Systems, Man, and Cybernetics, Part C, which covered the field from 1998 to 2004. Later surveys reported on other directions of ILC. From these surveys and the references therein, it is observed that the exploration of ILC in various directions has been a mainstream in the past few decades. These explorations have greatly enriched the system of ILC and established the advantages of ILC compared with other traditional control methodologies. However, we are facing a bottleneck in developing ILC due to the lack of current growth.

Scholars in the community have reached a consensus that ILC requires an in-depth review of the past contributions as well as an exciting look at the future directions for ILC. It is necessary to collect fresh ideas from the community to contribute to an understanding of the future developments of ILC. In other words, while exploring ILC for more system and operation conditions, we should also explore the essential advantages of ILC so that we can establish a comprehensive system of ILC. In particular, three major directions should be explored. First, we can apply ILC to new systems, especially newly formed system formulation. This extension can help broaden the potential application range and promote associated research. Second, we should pay attention to new operation environments, especially the emerging conditions. For example, Cyber Physical Systems (CPS) has gained attention from the community; how to implement ILC in CPS is interesting, but security issues should also be considered. Third, we must propose new design and analysis techniques, to carry forward the merits of ILC.

This Special Section in IEEE Access invites original articles addressing both design and analysis techniques in the area of learning control, including novel applications, design frameworks, analysis tools, essential performance improvements, and other related topics in learning control. It aims to provide an in-depth review of the recent advances and a comprehensive outlook of the development trends in learning control.

The topics of interest include, but are not limited to:

  • Learning control for new types of systems
  • Nonlinear design framework of learning control
  • Novel convergence and performance analysis techniques
  • Learning control with new operation conditions
  • New applications
  • Integration with artificial intelligence
  • Big data driven learning control

We also highly recommend the submission of multimedia with each article as it significantly increases the visibility, downloads, and citations of articles.

 

Associate Editor:  Youqing Wang, Shandong University of Science and Technology, China

Guest Editors:

  1. Dong Shen, Beijing University of Chemical Technology, China
  2. Wojciech Paszke, University of Zielona Gora, Poland
  3. YangQuan Chen, University of California, Merced, USA

 

Relevant IEEE Access Special Sections:

  1. Cyber-Physical Systems
  2. Trends, Perspectives and Prospects of Machine Learning Applied to Biomedical Systems in Internet of Medical Things
  3. Big Data Learning and Discovery


IEEE Access Editor-in-Chief:  Prof. Derek Abbott, University of Adelaide

Paper submission: Contact Associate Editor and submit manuscript to:
http://ieee.atyponrex.com/journal/ieee-access

For inquiries regarding this Special Section, please contact: wang.youqing@ieee.org.

Traffic Signal Phase Scheduling Based on Device-to-Device Communication

Device-to-device (D2D) communications enable direct communications among mobile entities, which brings new revolutions to existing cellular networks. Many use cases which can benefit from D2D are introduced such as vehicles-to-vehicles communication, vehicles-to-infrastructure communication, machine-to-machine communication, and so on. With the help of these information communication techniques, we propose a real-time traffic signal control approach to relieve traffic problems in this paper. Currently, a series of traffic problems, such as traffic congestion, traffic accidents, and vehicle exhaust emission, are increasingly inconveniencing city residents, especially in rush hours. One of the most dominating approaches to relieve the traffic congest is to determine the phase timing of traffic signals. However, a major shortcoming of the existing phase timing related control strategies is of highly computational complexity, which causes, to some extent, a response delay. The approach based on D2D communication, in this paper, on one hand can collect data of various types via sensors and actuators and on the other hand can reduce the response time as much as possible. Specifically, considering an intersection with four legs, we encoded the corresponding set of signal lights of each leg using a genetic algorithm. To evaluate the efficiency of phase timing plan in this paper, we have conducted extensive simulations, and the results show that our approach can respond to the considered traffic flow within one second. Compared with other traffic signal control systems, the performance is improved almost by 67% with regards to the queue length waiting at the intersections during traffic signal light cycle(s).

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Recent Advances in Fault Diagnosis and Fault-Tolerant Control of Aerospace Engineering Systems

Submission Deadline: 20 February 2018

IEEE Access invites manuscript submissions in the area of Recent Advances in Fault Diagnosis and Fault-Tolerant Control of Aerospace Engineering Systems.

With the rapid development of automation technologies, aerospace engineering systems including aircraft, satellite, and spacecraft, have become increasingly susceptible to system/component malfunctions. Failure to take appropriate responses to even relatively minor defects can result in highly destructive events. A conventional feedback control design may result in unsatisfactory performance or even instability in the event of a malfunction. Therefore, fault diagnosis (FD) and fault-tolerant control (FTC) technologies that can ensure the safety of handicapped systems have attracted significant interest. FTC design and relevant techniques provide a flexible framework for dealing with these challenges since the 1970s. The progress since the 1970s includes symposiums, seminars and a vast number of publications on the subject. The research illustrate that FD and FTC are effective and applicable in industry, especially for aerospace engineering systems.

The primary objective of this Special Section in IEEE Access is to provide a forum for academic and industrial communities to report recent theoretical and application based results in healthy monitoring, diagnosis, and fault-tolerant design. Researchers can exchange their latest ideas about the emerging research direction in this field. This Special Section would be of interest to readers to learn about trending and pioneering activities over the field of fault diagnosis and fault-tolerant control. The focus will be on advanced FD and FTC design methods for aerospace engineering systems (AESs) presenting considerable novelties in theoretical background or practical design. The solicited articles should provide original ideas and new approaches, with a clear indication of the advances made in problem formulation, methodology, or application with respect to existing results.

The topics of interest include, but are not limited to:

  • Fault detection and diagnosis for AESs
  • Sensors and measurements for AESs
  • Fault-tolerant control/reliable control
  • Remaining life assessment and health management
  • Experimental and analytical investigations on fatigue and fracture of system components
  • Self-healing, self-organizing, self-adaptive, automatic recovery
  • Optimization theory for fault-tolerant control design for AESs
  • Integration design of fault diagnosis and fault-tolerant control
  • Novel control, guidance, and navigation methodologies
  • Innovative control algorithms (such as robust control, adaptive control, and intelligent control)

 

We also highly recommend the submission of multimedia with each article as it significantly increases the visibility, downloads, and citations of articles.

 

Associate Editor: Hamid Reza Karimi, Politecnico di Milano, Italy

Guest Editors:

  1. Bing Xiao, Bohai University, China
  2. Xiang Yu, Concordia University, Canada
  3. Qingbin Gao, California State University, USA

 

Relevant IEEE Access Special Sections:

  1. Advanced Control and Health Management for Aircraft and its Propulsion System
  2. Complex System Health Management Based on Condition Monitoring and Test Data
  3. Advanced Signal Processing Methods in Medical Imaging

 

IEEE Access Editor-in-Chief: Michael Pecht, Professor and Director, CALCE, University of Maryland

Paper submission: Contact Associate Editor and submit manuscript to:
http://ieee.atyponrex.com/journal/ieee-access

For inquiries regarding this Special Section, please contact: hamidreza.karimi@polimi.it

New Developments on Reliable Control and Filtering of Complex Nonlinear Systems

Submission Deadline: 31 January 2018

IEEE Access invites manuscript submissions in the area of New Developments on Reliable Control and Filtering of Complex Nonlinear Systems.

During the past three decades, the problems of reliable control and filtering have attracted considerable attention due to the growing demands for system safety, reliability, maintainability, and survivability. The main aim of reliable control and filtering is to design a suitable controller and filter with guaranteed stability and performance, respectively, not only when all the system components are in operation, but also in the situation when some component failures occur. To guarantee a higher reliability level and better control performance, reliable control systems depending on various control strategies have been concerned to achieve these critical requirements, i.e., the pole region assignment method, coprime factorization method, the algebraic Riccati equation (ARE)-based method, the Hamilton-Jacobi inequality (HJI)-based method, and linear matrix inequality (LMI)-based method, for example. Although many researchers have investigated the reliable control/state estimation problems for linear systems with different scenarios for many years, the topic of reliable control/filtering in complex nonlinear systems is still in the early stage of development and many critical issues remain to be further investigated.

The primary objective of this Special Section in IEEE Access is to provide up-to-date research on technical innovations and theoretical advancement in system analysis and reliable controller/filter design of complex nonlinear systems. Of particular interest, the articles in this Special Section are devoted to the modeling of complex nonlinear systems, the development of advanced communication technology used in nonlinear systems, distributed reliable control/state estimation, fault detection and isolation, fault-tolerant control of nonlinear systems, and their applications in industrial process systems. The contributions to this Special Section are expected to provide the latest results in advanced analysis, optimization, reliable control/filtering and real applications for nonlinear dynamical systems.

The topics of interest include, but are not limited to:

  • Mathematical modeling of complex nonlinear systems
  • The characterizations of the system failures/faults
  • Co-design of reliable control systems
  • Reliable control/state estimation schemes of nonlinear systems with guaranteed performance
  • Distributed reliable control/state estimation for networked nonlinear systems
  • Advanced fault detection and diagnosis and fault-tolerant control schemes for nonlinear systems
  • Resiliency, robustness and reliability analysis in practical engineering systems
  • Reliable control/state estimation of stochastic nonlinear systems and their industrial applications

 

We also highly recommend the submission of multimedia with each article as it significantly increases the visibility, downloads, and citations of articles.

 

Associate Editor: Jianbin Qiu, Harbin Institute of  Technology, China

Guest Editors:

  1.  Yanling Wei, Technical University of Berlin, Germany
  2. Ye-Hwa Chen, Georgia Institute of Technology, USA
  3. Hak-Keung Lam, King’s College London, UK
  4. Hamid Reza Karimi, Politecnico di Milano, Italy

 

Relevant IEEE Access Special Sections:

  1. Recent Developments in Consensus Problems for Complex Networked Systems
  2. Analysis and Synthesis of Large-scale Systems
  3. Learning Systems Based Control and Optimization of Complex Nonlinear Systems

 

IEEE Access Editor-in-Chief: Michael Pecht, Professor and Director, CALCE, University of Maryland

Paper submission: Contact Associate Editor and submit manuscript to:
http://ieee.atyponrex.com/journal/ieee-access

For inquiries regarding this Special Section, please contact: jbqiu@hit.edu.cn

Analysis and Synthesis of Time-delay Systems

Submission Deadline: 18 September 2017

IEEE Access invites manuscript submissions in the area of Analysis and Synthesis of Time-delay Systems.

Time-delay, which often represents a source of instability and oscillation. is unavoidable in many practical systems such as networked control systems, communication networks, manufacturing and biology. Moreover, the appearance of delay can have a stabilizing effect and delayed feedback control can be used to stabilize some unstable systems. Due to its theoretical and practical importance, increasing attention has been focused on the analysis and synthesis of time-delay systems and various new approaches have been proposed to reduce their conservatism. The aim of reducing the conservatism of delay-dependent stability criteria is to establish new stability criteria to provide a maximal allowable delay as large as possible. Among different techniques, the reduced conservatism is mainly obtained by constructing an improved Lyapunov functional and employing a tighter bound on some weighted cross products. A great number of effective methods have been provided such as delay partitioning method, convex combination method and Wirtinger-based inequality. However, how to further reduce the conservatism and how to apply the obtained theoretical results to practical systems are challenging and hot topics.

Many practical engineering systems can be modeled by time-delay systems. Various analysis and synthesis problems of time-delay systems are challenging and fascinating tasks in modern systems and control theory as well as in academic and industrial applications. The purpose of this Special Section in IEEE Access is to highlight recent significant developments on various analysis and synthesis of time-delay systems and new approaches in mathematical modeling real-world time-delay systems.

The topics of interest include, but are not limited to:

  • Stability and stabilization criteria
  • State estimation and filtering
  • Reachable set estimation and synthesis
  • Sampled-data control and self/event-triggered control
  • Reliability/dissipativity and corresponding feedback control
  • Fault diagnosis, fault isolation and fault tolerant control
  • Applications in different mechanical systems, communication networks and industries

 

We also highly recommend the submission of multimedia with each article as it significantly increases the visibility, downloads, and citations of articles.

 

Associate Editor:  Zhiguang Feng, Victoria University, Australia

Guest Editors:

  1. Zhengguang Wu, Zhejiang University, China
  2. Baoyong Zhang, Nanjing University of Science and Technology, China
  3. Kun Liu, Beijing Institute of Technology, China
  4. MyeongJin Park, Kyung Hee University, South Korea
  5. Le Van Hien Hanoi National University of Education, Vietnam
  6. Christophe Fiter, Université de Lille 1 / CRIStAL , France
  7. Xiangyu Meng, Boston University, USA

 

Relevant IEEE Access Special Sections:

  1. Analysis and Synthesis of Large-scale Systems
  2. Recent Developments in Consensus Problems for Complex Networked Systems
  3. Resource Management in Vehicular Ad-Hoc Networks: Energy Management, Communication Protocol and Future Applications

 

IEEE Access Editor-in-Chief: Michael Pecht, Professor and Director, CALCE, University of Maryland

Paper submission: Contact Associate Editor and submit manuscript to:
http://ieee.atyponrex.com/journal/ieee-access

For inquiries regarding this Special Section, please contact: specialsections@ieee.org

Learning Systems Based Control and Optimization of Complex Nonlinear Systems

Submission Deadline: 30 November 2017

IEEE Access invites manuscript submissions in the area of Learning Systems Based Control and Optimization of Complex Nonlinear Systems.

Recent years have witnessed the growing interests in complex nonlinear systems from both academic and engineering communities since most practical systems, such as wind energy systems or robot manipulators, are inherently nonlinear. Due to their inherent approximation capabilities, learning systems (such as neural network, fuzzy logic, support vector machine, etc.) have been found to be particularly useful for the control and optimization of modern complex nonlinear dynamic systems. The learning system is envisioned as an effective tool to enhance the system performance of complex systems. Past pioneer approaches were developed for multifarious uncertain nonlinear systems such as the strict-feedback systems and the pure-feedback systems in discrete-time or continuous-time forms. The different controllers have been framed using various techniques, e.g., feedback linearization, inversion control, backstepping design, fuzzy control and neural control. Apart from the work focused on the stability of the control system, the optimal solution of the control system has also received a great deal of attention. Although much effort has been made to the control and optimization of complex nonlinear systems, effective systematic methods for this research field are still a challenging topic, especially for the potential of learning based control and optimization design in engineering applications. The primary objective of this Special Section in IEEE Access is dedicated to the learning systems based control and optimization of complex nonlinear systems and to highlight the latest advances in this field. We invite high quality, original research

The primary objective of this Special Section in IEEE Access is dedicated to the learning systems based control and optimization of complex nonlinear systems and to highlight the latest advances in this field. We invite high quality, original research articles, as well as review articles, focused on complex nonlinear system theory with new applications.

Potential topics include but are not limited to the following:

  • Learning systems (e.g., neural network, fuzzy logic) based control of strict-feedback systems, pure feedback systems, switching systems, stochastic systems, and so on
  • Learning systems based fault detection and control in complex nonlinear systems
  • Learning systems based nonlinear multi-agent systems
  • Learning systems based control of complex nonlinear systems with various constraints such as state constraint, input constraint, and output constraint
  • Learning systems based optimal control of complex nonlinear systems in various forms, e.g., adaptive dynamic programming (ADP) for nonlinear systems
  • Learning systems based optimal control of complex nonlinear systems with various constraints
  • Learning systems based optimal control of nonlinear multi-agent systems
  • Learning systems based methods in practical applications such as wind energy systems, solar systems, tele-operation systems, PWM Rectifiers, and robots

We also highly recommend the submission of multimedia with each article as it significantly increases the visibility, downloads, and citations of articles.

 

Associate Editor: Huanqing Wang, Carleton University, Canada

Guest Editors:

  1. Hamid Reza Karimi, Politecnico di Milano, Italy
  2. Wenchao Meng, Carleton University, Canada
  3. Yongming Li, City University of Hong Kong, Hong Kong
  4. Dawei Shi, Harvard University, USA

 

Related IEEE Access Special Sections:

  1. Trends and Advances for Ambient Intelligence with Internet of Things Systems
  2. System-Level Design Automation Methods for Multi-Processor System-on-Chips
  3. Recent Advances in Computational Intelligence Paradigms for Security and Privacy for Fog and Mobile Edge Computing

 

IEEE Access Editor-in-Chief: Michael Pecht, Professor and Director, CALCE, University of Maryland

Paper submission: Contact Associate Editor and submit manuscript to:
http://ieee.atyponrex.com/journal/ieee-access

For inquiries regarding this Special Section, please contact: Bora M. Onat, Managing Editor, IEEE Access (Phone: (732) 562-6036, specialsections@ieee.org)

Advanced Control and Health Management for Aircraft and its Propulsion System

Submission Deadline: 30 August 2018

IEEE Access invites manuscript submissions in the area of Advanced Control and Health Management for Aircraft and its Propulsion System.

With the increased emphasis on aircraft safety, enhanced performance, reliability, affordability and operating life, advanced control and health management of aircraft and its propulsion system become more critical. Both aircraft control systems and propulsion control systems play an important role in enlarging the flight envelope and providing enhanced maneuvering capabilities. Moreover, integrated aircraft/propulsion control systems have been verified effective to further enhance aircraft performance with minimum pilot workload. The key enabling technologies are the increased efficiencies of components through active control, advanced diagnostics and prognostics integrated with intelligent control to enhance operational reliability and component life, and distributed control with smart sensors and actuators in an adaptive fault tolerant architecture. In order to catch up with the developments and requirements of aircraft, it is of great significance to investigate intelligent aircraft and propulsion control with advanced health management systems.

The primary objective of this Special Section in IEEE Access is to provide up-to-date discussions on technical trends and advanced methodologies in controls and health management of aircraft and its propulsion systems. Of particular interest, the papers in this Special Section should be devoted to the development of intelligent control technology used in aircraft and propulsion systems, fault diagnostics and prognostics, fault tolerant control, decentralized/distributed state estimation, and integrated aircraft/propulsion strategies. The contributions to this Special Section are expected to provide the latest results in advanced analysis, optimization, control and fault diagnostics and prognostics for aircraft and its propulsion systems. Topics to be covered in this special issue include, but are not limited to:

  • Control Theory, Analysis, and Design for Aircraft and Propulsion Systems
  • Modeling and Simulation for Aircraft and Propulsion Systems
  • Fault Diagnostics and Prognostics for Aircraft and Propulsion Systems
  • Fault Tolerance and Recovery Control Design for Aircraft and Propulsion Systems
  • State Estimation and Health Management for Aircraft and Propulsion Systems
  • Distributed Control and Intelligent sensors for Aircraft and Propulsion Systems
  • Aircraft/Propulsion Control Analysis and Test Evaluation
  • Technology for Construction of the Aircraft Propulsion System Test Platforms
  • Hydraulic Mechanical Actuators for Aircraft and Propulsion Systems
  • Active Control of Components and Life-extending Control Design
  • Integrated Flight/Propulsion Control Strategies

We also highly recommend the submission of multimedia with each article as it significantly increases the visibility, downloads, and citations of articles.

Associate Editor: Xudong Zhao, Dalian University of Technology, China

Guest Editors:

  1. Ximing Sun, Dalian University of Technology, China
  2. Hanz Richter, Cleveland State University, USA
  3. Shui-Ting Ding, Beijing University of Aeronautics and Astronautics, China
  4. Rogelio Lozano, Jules Verne University in Amiens, France
  5. Zhongzhi Hu, Nanjing University of Aeronautics and Astronautics, China

Related IEEE Access Special Sections:

  1. Complex System Health Management Based on Condition Monitoring and Test Data
  2. Recent Advances on Modelling, Optimization and Signal Processing Methods in Vehicle Dynamics and Crash-worthiness
  3. Communication, Control and Computation Issues in Heterogeneous Vehicular Networks

IEEE Access Editor-in-Chief: Michael Pecht, Professor and Director, CALCE, University of Maryland

Paper submission: Contact Associate Editor and submit manuscript to:
http://ieee.atyponrex.com/journal/ieee-access

For inquiries regarding this Special Section, please contact: Bora M. Onat, Managing Editor, IEEE Access (Phone: (732) 562-6036, specialsections@ieee.org)