Article
Computer Science, Information Systems
Yekai Yang, Yugang Niu, Jiarui Li
Summary: This work investigates the self-triggered control issue for interval type-2 (IT2) fuzzy systems. A self-triggered scheme is used to determine the transmission of the system state. A self-triggered IT2 fuzzy controller is designed, which allows flexible selection of fuzzy rules and membership functions (MFs) independent of the controlled fuzzy system. The relationship between the triggered state and the system state is explicitly established, and the boundaries of MFs in the local operation region are given.
INFORMATION SCIENCES
(2022)
Article
Computer Science, Artificial Intelligence
Ming Chen, Hak-Keung Lam, Bo Xiao, Chengbin Xuan
Summary: This article investigates the design and stability analysis of the interval type-2 (IT2) sampled-data (SD) fuzzy-model-based (FMB) control system with the optimal guaranteed cost performance. The proposed IT2SDFMB control design utilizes the IT2 T-S fuzzy model and looped-functional approach to ensure the stability of the system. The performance of the control system can be adjusted through the choice of the weighting matrices in the cost function.
IEEE TRANSACTIONS ON FUZZY SYSTEMS
(2022)
Article
Engineering, Mechanical
Hongying Zhou, Hak-Keung Lam, Bo Xiao
Summary: This paper investigates a fault estimation-based fault tolerant control technique using interval type-2 Takagi-Sugeno fuzzy model to achieve control performance for nonlinear systems with uncertainties, external disturbance, and actuator faults. It proposes an IT2 fuzzy observer to estimate both system states and actuator faults, and a fault tolerant controller to guarantee the stability of the closed-loop system with a prescribed performance level. An integrated design technique is developed to address both observer and FTC units to ensure robustness in the entire FTC system. The proposed FTC strategy considers membership functions for relaxation of stability conditions and allows flexibility in the design of the fault tolerant controller.
NONLINEAR DYNAMICS
(2023)
Article
Computer Science, Information Systems
Wei Wang, Chi Huang, H. K. Lam, Li Wang
Summary: This paper focuses on the formation control problem of multi-agent systems in Takagi-Sugeno (T-S) fuzzy systems. An event-triggered sampling strategy is designed to reduce the transmission frequency of sampling states by setting event conditions for information transmission. Formation conditions based on LMI are established using Lyapunov stability theory. Less conservative and more efficient conditions are obtained based on the properties of membership functions. Numerical examples demonstrate the validity of the proposed formation conditions and compare the conservatism of the two criteria.
INFORMATION SCIENCES
(2023)
Article
Automation & Control Systems
Zifang Qu, Zhenbin Du, Yonggui Kao, Zhaojing Wu
Summary: This article addresses the problem of fuzzy event-triggered tracking control in unreliable networked systems. An event-based tracking controller is proposed to control the system in fuzzy form. The stability analysis is conducted using the looped Lyapunov-Krasovskii functional method, and sufficient conditions for the controller are determined. As a result, the tracking control performance of the controlled system is achieved. The feasibility of the presented tracking control design is verified through some examples.
Article
Computer Science, Artificial Intelligence
Guangtao Ran, Chuanjiang Li, Hak-Keung Lam, Dongyu Li, Chunsong Han
Summary: This article proposes a new design of an event-based dissipative asynchronous controller for IT2 fuzzy MJSs subject to sensor saturation and actuator nonlinearity. By solving H-infinity, passive, and dissipative fuzzy control problems using a unified framework, the energy consumption of communication can be reduced. The system and controller modes are asynchronous, and a hidden Markov model is employed to observe the modes of the original system. The stability of the closed-loop system is analyzed using the membership-function-dependent approach. Two examples are presented to demonstrate the effectiveness of the proposed algorithms.
IEEE TRANSACTIONS ON FUZZY SYSTEMS
(2022)
Article
Automation & Control Systems
Yekai Yang, Yugang Niu, Zhina Zhang
Summary: This paper addresses the sliding mode control for a class of interval type-2 fuzzy system subject to fading channel, introducing a dynamic event-triggered mechanism and stability conditions to ensure system stability.
Article
Computer Science, Artificial Intelligence
Ming Chen, Hak-Keung Lam, Bo Xiao, Hongying Zhou
Summary: This article focuses on the stability analysis and control design of an IT2SDFMBOF tracking control system, aiming to track the states of a nonlinear plant with uncertainties using a proper fuzzy controller. The utilization of IT2 fuzzy sets and IPM design method enhances the robustness and flexibility of the control system.
IEEE TRANSACTIONS ON FUZZY SYSTEMS
(2022)
Article
Computer Science, Artificial Intelligence
Zhichen Li, Huaicheng Yan, Hao Zhang, Hak-Keung Lam, Meng Wang
Summary: This article presents an event-triggered stabilization method for interval type-2 (IT2) fuzzy systems, considering nonuniform sampling and incorporating a flexible regulation mechanism and time-dependent Lyapunov function to achieve a better balance between control performance and network resources.
IEEE TRANSACTIONS ON FUZZY SYSTEMS
(2021)
Article
Engineering, Civil
Yongfu Wang, Bingxin Ma, Dianhui Wang, Tianyou Chai
Summary: This paper focuses on the problem of prescribed tracking performance control for uncertain steer-by-wire (SbW) systems with input nonlinearity and the limitation of CAN bandwidth. It introduces an adaptive interval type-2 fuzzy logic system (IT2 FLS) to approximate the lumped model uncertainty and applies a switching event-triggering mechanism (ETM) to save communication resources. By combining the backstepping approach and barrier Lyapunov function techniques, a prescribed tracking performance control method is proposed for SbW systems, eliminating the need for initial values of state errors in controller design. Theoretical analysis shows that the tracking error can converge to the predefined residual set within a preset time, while the closed-loop system is semi-globally stable. Simulations and vehicle experiments are conducted to verify the effectiveness of the proposed control method.
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS
(2023)
Article
Automation & Control Systems
Yekai Yang, Yugang Niu, James Lam
Summary: This article focuses on event-triggered sliding mode control for interval type-2 fuzzy systems subject to randomly occurring denial-of-service (DoS) attacks. A probability-dependent adaptive event-triggered scheme (AETS) is proposed under resource-limited and unreliable networks, where the triggering parameter can be adaptively adjusted based on the convergence trend of the system state and the attack probability. A fuzzy sliding mode resilient controller is designed by constructing a sliding function with one-step-memorized state information, where the membership functions (MFs) dependent on the compromised triggered state do not require the same fuzzy rules as the fuzzy system. Co-design conditions for the AETS and the fuzzy controller are derived for attaining both reachability and stability by employing the global bounds of mismatched MFs. A simulation example and comparison results are provided.
IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS
(2023)
Article
Computer Science, Artificial Intelligence
Jing-Wen Xing, Chen Peng, Zhiru Cao, Wen-Bo Xie
Summary: This article addresses the problem of dynamic event-triggered control for networked interval type-2 fuzzy systems subject to multiple cyber-attacks. An improved DET mechanism is proposed to reduce the communication burden and control the data packet transmissions. The stability conditions are relaxed by considering imperfectly matched membership functions between the fuzzy controller and IT2 fuzzy model.
IEEE TRANSACTIONS ON FUZZY SYSTEMS
(2023)
Article
Automation & Control Systems
Dongsheng Xu, Siyuan Cheng, Huan Su
Summary: In this paper, an alternate event-triggered control strategy is proposed for achieving stability of interval type-2 Takagi-Sugeno fuzzy systems. The new control strategy is characterized by its almost complete aperiodic feature, eliminating the conservativeness caused by the traditional time-triggered property. By examining two predetermined conditions alternately, the control efficiency is further improved and the resource consumption is greatly reduced. Rigorous stability criteria are demonstrated using Lyapunov function and graph theory. In addition, the validity of the strategy is supported by verifying its effectiveness in single-link robot arms systems. A numerical example is provided to illustrate the feasibility of the theoretical results.
Article
Automation & Control Systems
Bingxin Ma, Pengxu Li, Yongfu Wang
Summary: This paper addresses the tracking control problem for the uncertain steer-by-wire (SbW) system with the controller area network (CAN) communication and unavailable variables. An adaptive interval type-2 fuzzy logic system (IT2 FLS) and sliding mode observer are constructed to estimate the uncertain nonlinearity and unavailable variables of SbW control systems. The proposed event-triggered sliding mode control (ET-SMC) achieves transient steering performance and saves CAN communication resources, while incorporating dynamic gain and nested technologies to handle estimation error and the chattering phenomenon.
Article
Computer Science, Artificial Intelligence
Seungyong Han, Suneel Kumar Kommuri, Sangmoon Lee
Summary: This article investigates the stabilization of type-2 fuzzy systems in the presence of cyber attacks. By utilizing affine membership functions and a robust adaptive event-triggered control, a more reliable and less conservative stability analysis scheme is proposed, which is validated through numerical simulations on mass-spring-damper systems and tracking control systems to demonstrate robustness and effectiveness.
IEEE TRANSACTIONS ON FUZZY SYSTEMS
(2021)
Article
Computer Science, Artificial Intelligence
Zhina Zhang, Yugang Niu, Jun Song
IEEE TRANSACTIONS ON FUZZY SYSTEMS
(2020)
Article
Automation & Control Systems
Zhina Zhang, Yugang Niu, Hak-Keung Lam
IEEE TRANSACTIONS ON CYBERNETICS
(2020)
Article
Computer Science, Artificial Intelligence
Zhina Zhang, Yugang Niu, Zhiru Cao, Jun Song
Summary: This article addresses the security control problem of a class of interval type-2 fuzzy systems via the sliding mode control strategy, utilizing a stochastic communication scheduling protocol. The effect of cyber attacks is quantitatively analyzed and a control law with mismatched membership functions is synthesized. Sufficient conditions are derived for stochastically stable closed-loop fuzzy systems in the presence of cyber attacks.
IEEE TRANSACTIONS ON FUZZY SYSTEMS
(2021)
Article
Automation & Control Systems
Zhina Zhang, Yugang Niu, Hamid Reza Karimi
Summary: This article investigates a sliding mode control (SMC) design problem for a class of discrete-time interval type-2 fuzzy systems where sensors are scheduled by a round-Robin communication protocol. A compensation scheme is proposed for other sensor nodes, based on which a token-dependent sliding mode controller is synthesized. Sufficient conditions are derived to ensure system states can reach a neighborhood of the sliding surface, resulting in an input-to-state stable closed-loop fuzzy system. Simulation results validate the effectiveness of the proposed SMC method.
IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS
(2021)
Article
Engineering, Mechanical
Zhina Zhang, Yugang Niu
Summary: This paper investigates the sliding mode control of interval type-2 T-S fuzzy systems and proposes a method using redundant channels for improving data transmission reliability. The paper addresses the challenge of unavailable premise variables and measurement signals for the controller, and synthesizes an implementable sliding mode control law. The paper establishes a model of available measurement output signals and constructs new membership functions for the sliding mode controller. Nonlinear matrix inequalities are derived to ensure system boundedness and the reachability of the sliding surface. A binary genetic algorithm is introduced to solve the nonlinear criteria. A numerical example is provided to demonstrate the effectiveness of the proposed methods.
NONLINEAR DYNAMICS
(2022)
