Related references
Note: Only part of the references are listed.
Article
Automation & Control Systems
Zhengtian Wu et al.
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
Mathematics, Applied
Tianwei Zhang et al.
Summary: This paper establishes the basic structure of the exponential Euler difference form for Caputo-Fabrizio fractional-order differential equations (CF-FODEs) with multiple lags and proposes a fractional PECE algorithm to solve this implicit difference. The global dynamics of the discrete-time CF-FODEs is discussed from the viewpoint of control theory.
APPLIED MATHEMATICS LETTERS
(2022)
Article
Automation & Control Systems
Richard Seeber et al.
Summary: An integral extension of state-feedback controllers for linear time-varying plants is proposed, which maintains the performance of the nominal controller without disturbances. The controller achieves complete rejection of disturbances and bounded-input bounded-state stability is proven. A modification for preventing controller windup and tuning guidelines are also discussed.
Article
Computer Science, Artificial Intelligence
Shuang Shi et al.
Summary: This article investigates the problem of event-triggered H-infinity control design for a class of continuous-time switched Takagi-Sugeno fuzzy systems. A new event-trigger mechanism and controller design method are proposed by introducing mode-dependent average dwell-time switching and considering asynchronous phenomenon. The effectiveness of the proposed method is verified through simulation results.
IEEE TRANSACTIONS ON FUZZY SYSTEMS
(2022)
Article
Automation & Control Systems
Yuzhong Wang et al.
Summary: This paper investigates the event-triggered sliding mode control problem for singular systems subject to unknown nonlinear function and exogenous disturbance. A new adaptive event-triggering communication scheme and a novel integral sliding surface are proposed, and sliding mode control method and RBF neural network are employed to compensate the unknown nonlinearity and match the exogenous disturbance. Stability criteria are obtained based on Lyapunov function theory and linear matrix inequalities. Two novel event-triggered adaptive sliding mode controllers based on RBF neural network are designed, ensuring reachability conditions and asymptotic stability of singular systems with H performance. The proposed method is validated through two examples.
Article
Automation & Control Systems
Xiang Ren et al.
Summary: This paper investigates the application of observer-based event-triggered control in the stabilization of singularly perturbed systems. By designing two event-triggering conditions, ultimately bounded stability of the closed-loop system is achieved and Zeno behavior is eliminated.
Article
Automation & Control Systems
Anqing Wang et al.
Summary: This article proposes an event-triggered adaptive fuzzy output-feedback control scheme for a class of nonstrict-feedback nonlinear systems with asymmetric and time-varying output constraints and unknown nonlinear functions. By designing a linear observer and using barrier Lyapunov function and error transformation technique, the proposed scheme can handle the output constraint under a completely unknown initial tracking condition. Simulation results show that the proposed control scheme can ensure the semiglobal boundedness of the closed-loop system and convergence of the tracking error to a small set near zero, while satisfying the output constraint within a predetermined finite time.
IEEE TRANSACTIONS ON CYBERNETICS
(2022)
Article
Automation & Control Systems
Jiabao He et al.
Summary: This paper presents several methods to improve the stabilization conditions of Takagi-Sugeno fuzzy descriptor systems (TSFDS). Firstly, by introducing a modified non-quadratic fuzzy Lyapunov function and a PDC controller, the stabilization problems of TSFDS are reformulated as checking negativity of triple fuzzy summations, allowing the relaxed methods of T-S fuzzy systems to be directly applied to descriptor systems. Secondly, a non-quadratic fuzzy Lyapunov function is designed that combines membership functions of derivative matrices and state matrices, and both sufficient and asymptotically necessary conditions for TSFDS are presented using a non-PDC controller based on Polya's theorem. All conditions are formulated as LMIs, and simulation examples demonstrate the improvements and effectiveness of these methods.
Article
Automation & Control Systems
Jie Gao et al.
Summary: This paper focuses on the stable tracking control of a manipulator with constrained communication, unmeasurable velocity, and nonlinear uncertainties. A discrete-time output feedback scheme using an NN observer is developed based on the model-based dynamic event-triggered backstepping technique. The scheme allows for flexible communication scheduling and avoids the accumulation of triggers in small tracking errors. The neural network compensates for internal and external nonlinear uncertainties, and an aperiodic adaptive law is derived to save computation. The conditions for the boundedness of all variables and the guarantee of Zeno free behavior are given through impulse Lyapunov analysis.
Article
Mathematics, Applied
Valiollah Ghaffari et al.
Summary: This paper presents a robust H-infinity integral control scheme for a class of nonlinear uncertain systems, achieving disturbance rejection and set-point regulation through state-feedback design and utilizing LMI-based controller synthesis. The controller gains are numerically calculated by solving LMIs, and the method's efficiency is demonstrated in a numerical example by comparing disturbance attenuations and transient performance in none-zero regulation scenarios.
COMMUNICATIONS IN NONLINEAR SCIENCE AND NUMERICAL SIMULATION
(2022)
Article
Automation & Control Systems
Abdellatif Ben Makhlouf et al.
Summary: In this work, we examine the stability problem of a class of control-affine systems using bilinear approximation. We demonstrate that continuous feedback can stabilize the system under given perturbation constraints. Integral inequalities are utilized to provide a stabilization result for bilinear systems in the presence of perturbations. Additionally, we prove a new extension of Gamidov's Lemma, enabling the stabilization of a class of affine systems. An example and an application are presented to verify the effectiveness of the proposed approach.
IMA JOURNAL OF MATHEMATICAL CONTROL AND INFORMATION
(2022)
Article
Computer Science, Information Systems
Hailing Wang et al.
Summary: This study proposes a component-based dynamic event-triggered control mechanism for nonlinear singularly perturbed systems with actuator faults. By adjusting the triggering thresholds and receiving the triggering instants of each sensor node separately, the burden of data communication is mitigated and the efficiency of information exchange is improved. Sufficient conditions for the stochastic stability of the system are obtained through the application of gain-scheduling technique and parameter-dependent Lyapunov functional. The effectiveness and applicability of the proposed method are verified through numerical examples and a circuit model of a tunnel diode.
INFORMATION SCIENCES
(2022)
Article
Computer Science, Information Systems
Wenting Song et al.
Summary: This paper investigates the finite-time event-triggered H-infinity fuzzy output feedback control problem for a class of nonlinear systems. The considered nonlinear system is modeled using an interval type-2 Takagi-Sugeno (IT2 T-S) fuzzy system with modeling errors. A state observer and an event-triggered mechanism are designed using sampled estimating states and measured output signals. Based on the designed state observer and event-triggered mechanism, an observer-based finite-time event-triggered H-infinity fuzzy controller is developed. The sufficient conditions for guaranteeing the finite-time stability of the system are established using linear matrix inequalities (LMIs). Additionally, a computational algorithm for solving observer and controller gain matrices is provided based on the established sufficient conditions. Finally, a simulation example is presented to demonstrate the effectiveness of the theoretical results.
INFORMATION SCIENCES
(2022)
Article
Computer Science, Information Systems
Huilan Yang et al.
Summary: This study investigates the observer-based asynchronous dynamic event-triggered control problem for networked interval type-2 fuzzy systems suffering from hybrid cyber-attacks, and considers the deception attacks and non-periodic denial of service attacks simultaneously. A new resilient dynamic event-triggering mechanism is used in the design process of the controller. By using a piecewise Lyapunov functional, new stochastically exponential stability conditions are developed to establish the relationship among asynchronous dynamic event-triggering mechanism, deception attacks, non-periodic denial of service attacks, and mismatched membership functions.
INFORMATION SCIENCES
(2022)
Article
Energy & Fuels
Naghmash Ali et al.
Summary: This paper proposes a double integral sliding mode controller for a hybrid electric vehicle. By utilizing a wireless charging system and an energy management system, the proposed control structure achieves stability and the effectiveness of the control scheme is validated under the European extra-urban driving cycle. Additionally, the robustness and effectiveness of the controller are checked through comparisons with other controllers and real-time implementation validation.
JOURNAL OF ENERGY STORAGE
(2022)
Article
Computer Science, Information Systems
Shan Liu et al.
Summary: This paper addresses the issue of saturation control for discrete-time fuzzy Markov switching singularly perturbed systems. A novel nonhomogeneous Markov process is proposed to describe the dynamic stochastic jumping behavior of system states, and a control law is built to consider the random occurrence of cyber-attacks. The saturation mechanism is adopted to design an asynchronous controller, which can mitigate the impact of cyber-attacks to a certain extent. Simulation results demonstrate the effectiveness of the proposed methodology.
INFORMATION SCIENCES
(2022)
Article
Automation & Control Systems
Pratap Anbalagan et al.
Summary: This study investigates the passivity analysis of fractional-order Takagi-Sugeno (T-S) fuzzy systems subject to external disturbances and nonlinear perturbations under an adaptive integral sliding mode control (AISMC) methodology. A novel fractional-order memory-based integral-type sliding manifold function is defined, and linear matrix inequality (LMI)-based sufficient criteria are derived. An adaptive sliding mode control law is designed to ensure the system state variables onto the predefined integral sliding manifold.
JOURNAL OF THE FRANKLIN INSTITUTE-ENGINEERING AND APPLIED MATHEMATICS
(2022)
Article
Automation & Control Systems
Tianwei Zhang et al.
Summary: This article discusses a class of impulsive FONNs with piecewise Caputo derivatives (IPFONNs) and investigates the existence of Filippov solutions for discontinuous IPFONNs using differential inclusion theory. Furthermore, decision theorems are established for various properties of IPFONNs. The article resolves four key issues previously unaddressed in existing literature.
IEEE TRANSACTIONS ON CYBERNETICS
(2022)
Article
Automation & Control Systems
E. Jafari et al.
Summary: This article discusses the control of nonlinear time-delay descriptor systems using Composite Nonlinear Feedback (CNF) control technique to achieve improved transient response and asymptotic output regulation. The proposed CNF controller is designed to improve closed-loop system response, overcome input saturation constraint, and handle time-delay effects effectively. The controller is less conservative than other CNF controllers, and its parameters are obtained through solving LMI problems based on Lyapunov stability analysis approach.
Article
Automation & Control Systems
Xiaofei Fan et al.
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, Artificial Intelligence
Wenqiang Ji et al.
Summary: This article focuses on integral sliding mode control for nonlinear singularly perturbed systems using T-S fuzzy models. A new criterion for sliding surface design is obtained through convexification techniques, ensuring the asymptotic stability of sliding motion. A new dynamic SMC synthesis scheme is developed to ensure finite-time reachability of the sliding surface, with a simulation example demonstrating its validity.
IEEE TRANSACTIONS ON FUZZY SYSTEMS
(2021)
Article
Computer Science, Artificial Intelligence
Yueying Wang et al.
Summary: This article introduces an integral sliding-mode control strategy for nonlinear singularly perturbed descriptor systems, using a fuzzy integral switching manifold to reject matched perturbations. By utilizing a novel singular perturbation Lyapunov function, Finsler's lemma, and the fixed-point principle, the existence, uniqueness, and exponential admissibility of the augmented sliding-mode dynamics are analyzed.
IEEE TRANSACTIONS ON FUZZY SYSTEMS
(2021)
Article
Computer Science, Information Systems
Khalid A. Alattas et al.
Summary: This paper introduces an adaptive non-singular fast terminal sliding mode control for finite time tracking of nonlinear systems with disturbances. The proposed approach addresses singularity issues through parameter adaptation and integral surface design, providing chattering-free dynamics and avoiding singularity problems.
Article
Mathematics, Applied
Tianwei Zhang et al.
APPLIED MATHEMATICS LETTERS
(2020)
Article
Automation & Control Systems
Chenghu Jing et al.
Article
Automation & Control Systems
Yizhuo Sun et al.
IET CONTROL THEORY AND APPLICATIONS
(2020)
Article
Computer Science, Artificial Intelligence
Rongchang Li et al.
IEEE TRANSACTIONS ON FUZZY SYSTEMS
(2020)
Article
Automation & Control Systems
Chaoxu Guan et al.
NONLINEAR ANALYSIS-HYBRID SYSTEMS
(2020)
Article
Computer Science, Information Systems
Chonnikarn Vorrawan et al.
Article
Computer Science, Information Systems
Yifang Yan et al.
Article
Automation & Control Systems
Yifang Yan et al.
Article
Computer Science, Artificial Intelligence
Anqing Wang et al.
IEEE TRANSACTIONS ON FUZZY SYSTEMS
(2019)
Article
Computer Science, Information Systems
Hao Wang et al.
Article
Automation & Control Systems
Xiaojie Su et al.
Article
Automation & Control Systems
Nikorn Kaewpraek et al.
ASIAN JOURNAL OF CONTROL
(2016)
Article
Computer Science, Information Systems
Huijiao Wang et al.
INFORMATION SCIENCES
(2016)
Article
Automation & Control Systems
Mahmoud Abdelrahim et al.
Article
Automation & Control Systems
Wudhichai Assawinchaichote
INTERNATIONAL JOURNAL OF APPLIED MATHEMATICS AND COMPUTER SCIENCE
(2014)
Article
Automation & Control Systems
Wudhichai Assawinchaichote
INTERNATIONAL JOURNAL OF COMPUTERS COMMUNICATIONS & CONTROL
(2012)
Article
Engineering, Electrical & Electronic
Sing Kiong Nguang et al.
CIRCUITS SYSTEMS AND SIGNAL PROCESSING
(2007)
Article
Computer Science, Artificial Intelligence
Wudhichai Assawinchaichote et al.
IEEE TRANSACTIONS ON FUZZY SYSTEMS
(2006)
Article
Automation & Control Systems
W Assawinchaichote et al.
IEEE TRANSACTIONS ON SYSTEMS MAN AND CYBERNETICS PART B-CYBERNETICS
(2004)
Article
Engineering, Electrical & Electronic
W Assawinchaichote et al.
IEEE TRANSACTIONS ON SIGNAL PROCESSING
(2004)
