Article
Automation & Control Systems
Mohsen Farbood, Zeinab Echreshavi, Mokhtar Shasadeghi, Saleh Mobayen
Summary: This paper proposes an event-triggered integral sliding mode control (ISMC) for perturbed nonlinear Takagi-Sugeno (TS) fuzzy systems. A disturbance observer is designed to estimate and reduce the unmatched disturbances. Two types of sliding surfaces are established to reduce computational burden and communication resources. The proposed control scheme ensures system performance enhancement and Zeno-free behavior.
JOURNAL OF THE FRANKLIN INSTITUTE-ENGINEERING AND APPLIED MATHEMATICS
(2023)
Article
Computer Science, Artificial Intelligence
Xiaojie Su, Yao Wen, Peng Shi, Shuoyu Wang, Wudhichai Assawinchaichote
Summary: This article presents a novel continuous-time dynamic sliding mode control method for Takagi-Sugeno fuzzy nonlinear systems based on an event-triggered mechanism. By establishing a new sliding mode dynamic system and utilizing a new Lyapunov function and reciprocally convex method, the asymptotic stability of the constructed network sliding mode dynamics is ensured. The explicit expression of the desired sliding mode controller is given in the form of linear matrix inequalities, and the applicability and effectiveness of the proposed design techniques are demonstrated through a numerical example.
IEEE TRANSACTIONS ON FUZZY SYSTEMS
(2021)
Article
Engineering, Mechanical
Xiaoxiao Dong, Xi Zhang
Summary: This paper introduces the event-triggered scheme to study the problems of dissipative control and dissipativity-based sliding mode control (SMC) for switched nonlinear systems. The piecewise continuous state feedback controller is constructed based on a designed event-triggered scheme, and sufficient conditions for dissipativity of the resulting system are derived using the approaches of a switched Lyapunov function and an average dwell time. The proposed methods are also extended to H-infinity performance and passive performance analysis.
NONLINEAR DYNAMICS
(2023)
Article
Automation & Control Systems
Shijuan Li, Qiankun Song, Yurong Liu
Summary: This paper investigates the stability of a class of distributed-order nonlinear systems using an event-triggered control method. It first establishes an inequality for the solution of distributed-order nonlinear inequality systems using Laplace transform. Then, by designing a state feedback controller and event-triggered strategy and using Lyapunov stability theory and matrix inequality technique, a sufficient condition for the asymptotic stability of the considered systems is obtained in the form of a linear matrix inequality. Furthermore, a criterion to exclude Zeno behavior in the event-triggered strategy is provided. Finally, the proposed method is verified through a simulation example.
INTERNATIONAL JOURNAL OF SYSTEMS SCIENCE
(2023)
Article
Automation & Control Systems
Zhengtian Wu, Baoping Jiang, Mingyang Xie, Jing Xie, Cunchen Gao
Summary: The paper investigates the problem of sliding mode control for Takagi-Sugeno fuzzy model-based nonlinear one-sided Lipschitz systems. A state observer is designed and an integral sliding surface is proposed based on the estimated state, ensuring the finite-time reachability of the predefined sliding surface. Numerical examples are provided to demonstrate the effectiveness of the proposed method.
Article
Automation & Control Systems
Wenhui Dou, Shihong Ding, Xinghuo Yu
Summary: This article proposes a novel event-triggered second-order sliding mode (SOSM) control method for uncertain nonlinear systems. A new switched triggering mechanism is constructed using three predesigned saturated-like functions. An event-triggered SOSM controller is designed under the proposed triggering mechanism to ensure finite-time convergence of the SOSM system states to a domain of the origin, which prevents escape from the domain. To avoid Zeno behavior, two positive minimum inter-execution intervals are obtained based on different triggering conditions. The effectiveness of the control strategy is verified through a simulation study.
IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS
(2023)
Article
Automation & Control Systems
Yuan Sun, Peng Shi, Cheng-Chew Lim
Summary: This paper investigates the scaled consensus problem for discrete-time multi-agent systems using the event-triggered sliding mode control approach. The problem considers unknown external bounded disturbance and time-varying state delay. A new event-triggered integral sliding surface function is introduced to handle the external disturbances. A distributed event-triggered control method is integrated with sliding mode control to address the energy-constrained issue. A sufficient condition is established to ensure a predefined H-infinity performance for the system. An event-triggered sliding mode control protocol is developed to guarantee the state trajectories of all agents approach the dictated scales in the discrete-time multi-agent systems.
JOURNAL OF THE FRANKLIN INSTITUTE-ENGINEERING AND APPLIED MATHEMATICS
(2022)
Article
Automation & Control Systems
Xiaofei Fan, Zhanshan Wang
Summary: This paper addresses the event-triggered sliding mode control problem for singular systems with disturbance, proposing a novel lemma to deal with the difficulties caused by this strategy. By introducing the admissibility of sliding motion, the controller gain is solved and Zeno behavior is avoided, ensuring a positive lower bound of the inter execution time. The effectiveness of the theoretical results is demonstrated through two simulation examples.
NONLINEAR ANALYSIS-HYBRID SYSTEMS
(2021)
Article
Computer Science, Theory & Methods
Xiaofei Fan, Zhanshan Wang, Zhan Shi
Summary: This paper investigates an event-triggered integral sliding mode controller design for uncertain T-S fuzzy systems. Through a novel triggering condition and controller design, the system trajectory can converge to a bounded region and the Zeno phenomenon can be avoided.
FUZZY SETS AND SYSTEMS
(2021)
Article
Computer Science, Artificial Intelligence
Zeinab Echreshavi, Mohsen Farbood, Mokhtar Shasadeghi
Summary: This article investigates the design of an event-triggered-based integral sliding mode control for a class of TSFM-based nonlinear systems, proposing a more reasonable ETISMC law, ensuring stability of the closed-loop system, and formulating new sufficient conditions in terms of offline linear matrix inequalities.
IEEE TRANSACTIONS ON FUZZY SYSTEMS
(2022)
Article
Automation & Control Systems
Xiaojie Su, Chunlian Wang, Hongbin Chang, Yue Yang, Wudhichai Assawinchaichote
Summary: This paper focuses on sliding mode control for networked Markovian jump systems with partially-known transition probabilities via an event-triggered scheme. It establishes the mean-square asymptotic stability of the closed-loop system and provides sufficient conditions for co-designing the switching function and trigger parameters, as well as a novel control scheme for handling Markovian jump parameters. Simulation results confirm the effectiveness of the proposed design schemes.
Article
Computer Science, Information Systems
Tengda Wang, Huanqing Wang, Ning Xu, Liang Zhang, Khalid H. Alharbi
Summary: This paper proposes a decentralized event-triggered control method for partially unknown interconnected nonlinear systems using a sliding-mode surface (SMS) and an identifier-critic neural networks framework. An optimal controller for each subsystem is designed based on an associated cost function and updated in an event-triggered manner, which reduces communication resources. The reinforcement learning algorithm is used to solve the corresponding Hamilton-Jacobi-Bellman equations and obtain the optimal event-based control policies. The identifier-critic network framework eliminates the need for knowledge of system dynamics and the errors caused by approximating actor networks. The proposed control scheme achieves faster control response and ensures bounded signals of the interconnected nonlinear systems.
INFORMATION SCIENCES
(2023)
Article
Automation & Control Systems
Shunchao Zhang, Yonghua Wang, Dacai Liu, Jiawei Zhuang, Yongwei Zhang
Summary: This paper investigates an event-triggered nearly optimal tracking control method for a class of uncertain nonlinear systems by integrating adaptive dynamic programming (ADP) and integral sliding mode (ISM) control techniques. The stability of tracking error and the considerable optimality are guaranteed through the application of a critic NN to approximate the optimal value function and solve the event-triggered Hamilton-Jacobi-Bellman equation.
INTERNATIONAL JOURNAL OF ROBUST AND NONLINEAR CONTROL
(2023)
Article
Automation & Control Systems
Yuzhong Wang, Caiyun Wu, Jinna Li, Junchao Ren
Summary: This article investigates the event-triggered sliding mode control problem for uncertain networked switched systems with external disturbances. A novel event-triggering scheme is proposed to reduce network bandwidth utilization. A sliding mode controller is designed to achieve stability and attain the sliding region around the specified sliding surface. The effectiveness of the proposed method is shown through a practical example.
INTERNATIONAL JOURNAL OF ROBUST AND NONLINEAR CONTROL
(2022)
Article
Automation & Control Systems
Hajar Atrianfar, Shahram Yadollahi
Summary: This article addresses the consensus problem of nonlinear heterogeneous multiagent systems in the presence of uncertainty and external disturbances. A new event-triggered adaptive sliding mode control mechanism is proposed, integrating adaptive sliding-mode control strategy and design of decoupled heterogeneous sliding surfaces. Through centralized and distributed event-triggered schemes, consensus among agents is achieved with the usage of limited resources.
INTERNATIONAL JOURNAL OF ROBUST AND NONLINEAR CONTROL
(2021)
Article
Engineering, Electrical & Electronic
Abhisek K. Behera, Bijnan Bandyopadhyay
IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS II-EXPRESS BRIEFS
(2017)
Article
Automation & Control Systems
P. R. Kumar, Abhisek K. Behera, Bijnan Bandyopadhyay
IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS
(2017)
Article
Automation & Control Systems
Abhisek K. Behera, Asif Chalanga, Bijnan Bandyopadhyay
Article
Automation & Control Systems
Abhisek K. Behera, Bijnan Bandyopadhyay, Xinghuo Yu
Article
Automation & Control Systems
Kiran Kumari, Abhisek K. Behera, Bijnan Bandyopadhyay
IET CONTROL THEORY AND APPLICATIONS
(2018)
Correction
Automation & Control Systems
Abhisek K. Behera, Asif Chalanga, Bijnan Bandyopadhyay
Article
Automation & Control Systems
Deepti Khimani, Machhindranath Patil, Bijnan Bandyopadhyay, Abhisek K. Behera
ASIAN JOURNAL OF CONTROL
(2020)
Article
Automation & Control Systems
Abhisek K. Behera, Hyungbo Shim
INTERNATIONAL JOURNAL OF ROBUST AND NONLINEAR CONTROL
(2020)
Article
Automation & Control Systems
Asifa Yesmin, Abhisek K. Behera, Manas K. Bera, Bijnan Bandyopadhyay
Summary: This article presents a new event-triggering based design of sliding mode control for the control of a dynamical system against external perturbations. It achieves a sparser sampling pattern and larger inter event time by employing a dynamic event-triggering mechanism. The proposed design guarantees stability and eliminates the Zeno phenomenon in the triggering sequence, while maintaining steady-state performance.
INTERNATIONAL JOURNAL OF ROBUST AND NONLINEAR CONTROL
(2021)
Article
Automation & Control Systems
Abhisek K. Behera, Saikat Mondal, Bijnan Bandyopadhyay
Summary: This paper proposes a decoupled approach for designing a robust sliding mode observer. The observer consists of a linear part and a discontinuous part based on the sliding mode technique. The linear part is designed with linear injection of output error, while the discontinuous part only injects the output error into the sliding mode part. The paper presents the sufficient condition for the existence of the proposed sliding mode observer. The main contribution of this design is the improvement of steady-state accuracy and attenuation of numerical chattering. The paper also demonstrates the global convergence of estimation error in the presence of disturbance through an example.
Proceedings Paper
Automation & Control Systems
Abhisek K. Behera, Bijnan Bandyopadhyay, Sarah K. Spurgeon
Summary: This paper addresses the problem of placing all the poles arbitrarily for a linear time-invariant plant with sliding mode control. Two approaches are presented, one by specifying the desired pole locations and the other by designing the control from a given state feedback gain. The proposed methods allow for placing the closed-loop poles at any arbitrary location in the left half of the complex plane.
2022 16TH INTERNATIONAL WORKSHOP ON VARIABLE STRUCTURE SYSTEMS (VSS)
(2022)
Proceedings Paper
Automation & Control Systems
Kiran Kumari, Bijnan Bandyopadhyay, Johann Reger, Abhisek K. Behera
Article
Automation & Control Systems
Kiran Kumari, Bijnan Bandyopadhyay, Johann Reger, Abhisek K. Behera
Proceedings Paper
Engineering, Electrical & Electronic
Kiran Kumari, Bijnan Bandyopadhyay, Abhisek K. Behera, Johann Reger
PROCEEDINGS OF THE IECON 2016 - 42ND ANNUAL CONFERENCE OF THE IEEE INDUSTRIAL ELECTRONICS SOCIETY
(2016)