4.7 Article

Hidden Markov model based non-fragile sampled-data control design for mode-dependent fuzzy systems with actuator faults

Related references

Note: Only part of the references are listed.
Article Automation & Control Systems

Dynamic output feedback control for continuous-time Markov jump linear systems with hidden Markov models

A. M. de Oliveira et al.

Summary: In this work, the design of dynamic output feedback controllers for continuous-time Markov jump linear systems is studied. The worst-case scenario of partial observation is considered, where the controller only has access to the output of a fault-detection and isolation device. Design conditions for different controllers are presented based on the switching of the detector. Mode-dependent and independent controllers are also designed, and the design of filters depending on the detector is briefly discussed. The results are given in terms of bilinear matrix inequalities, allowing for an iterative separation procedure method.

INTERNATIONAL JOURNAL OF CONTROL (2022)

Article Automation & Control Systems

Asynchronous Adaptive Fault-Tolerant Sliding-Mode Control for T-S Fuzzy Singular Markovian Jump Systems With Uncertain Transition Rates

Min Li et al.

Summary: This article investigates the problem of asynchronous sliding-mode control for a class of nonlinear singular Markovian jump systems with actuator faults and uncertain transition rates. A new asynchronous adaptive sliding-mode control scheme is developed based on Takagi-Sugeno fuzzy models and hidden Markov models, which can compensate for the effects of actuator faults and parameter uncertainties. The article also presents sufficient conditions for the stochastic asymptotic admissability of the systems and the design scheme for controller gain matrices.

IEEE TRANSACTIONS ON CYBERNETICS (2022)

Article Automation & Control Systems

Dissipativity-Based Disturbance Attenuation Control for T-S Fuzzy Markov Jumping Systems With Nonlinear Multisource Uncertainties and Partly Unknown Transition Probabilities

Zheng Wang et al.

Summary: This article discusses the dissipativity-based disturbance attenuation control for a class of Takagi-Sugeno fuzzy Markov jump systems suffering from nonlinear multisource disturbances. By proposing an adaptive fuzzy disturbance observer and a hybrid feedback controller, a novel fuzzy disturbance attenuation control structure has been constructed. The sufficient conditions for guaranteeing the dissipativity and stochastic exponential stability of the closed-loop systems are established using strict linear matrix inequalities.

IEEE TRANSACTIONS ON CYBERNETICS (2022)

Article Computer Science, Interdisciplinary Applications

Impulsive sampled-data controller design for synchronization of delayed T-S fuzzy Hindmarsh-Rose neuron model

Prasath Nirvin et al.

Summary: The authors investigate the synchronization criteria of fuzzy impulsive sampled data control for Hindmarsh-Rose neural system with time-delay in this paper. They employ Lyapunov-Krasovskii functionals to deduce conditions for asymptotic stability and express them in terms of linear matrix inequalities. The obtained sufficient conditions can be easily checked using MATLAB software packages, and numerical simulations are provided to validate their effectiveness.

MATHEMATICS AND COMPUTERS IN SIMULATION (2022)

Article Computer Science, Theory & Methods

Hidden Markov model-based asynchronous quantized sampled-data control for fuzzy nonlinear Markov jump systems

Tao Wu et al.

Summary: This paper investigates the problem of asynchronous control for nonlinear Markov jump systems using fuzzy quantized sampled-data controller. A novel criterion is proposed to ensure the stochastic stability of fuzzy nonlinear Markov jump systems, which has less conservatism and low computational complexity.

FUZZY SETS AND SYSTEMS (2022)

Article Computer Science, Information Systems

Stabilization of Fuzzy Hydraulic Turbine Governing System With Parametric Uncertainty and Membership Function Dependent H∞ Performance

B. Visakamoorthi et al.

Summary: This paper examines the stabilization problem and H-infinity performance analysis for uncertain hydraulic turbine governing systems with stochastic actuator faults and time-varying delays via sampled-data control. The authors model the systems as Takagi-Sugeno fuzzy systems with time-varying delay and bounded external disturbance and propose a novel delay-dependent looped Lyapunov-Krasovskii functional. They also suggest a membership function dependent H-infinity performance index to diminish the impact of disturbances. The new delay-dependent stability conditions for the closed-loop system are attained using robust control and the proposed functional.

IEEE ACCESS (2022)

Article Computer Science, Information Systems

LEStabilization of permanent magnet synchronous generator-based wind turbine system via fuzzy-based sampled-data control approach

Lakshmanan Shanmugam et al.

Summary: This study focuses on the stabilization analysis of a nonlinear PMSG-based wind turbine system under a fuzzy-based memory sampled-data control scheme. The Takagi-Sugeno fuzzy theory is utilized to convert the nonlinear model into linear sub-models, and a FBMSD controller is designed using suitable Lyapunov-Krasovskii functional. The derived conditions are verified through numerical simulations and compared with existing works to demonstrate the less conservatism of the proposed method.

INFORMATION SCIENCES (2021)

Article Computer Science, Information Systems

Exponential stabilization and non-fragile sampled-date dissipative control for uncertain time-varying delay T-S fuzzy systems with state quantization

Pengyi Tang et al.

Summary: This paper investigates the problem of exponential dissipation stability of T-S fuzzy system with state quantization using non-fragile sampled-data control. The construction of Lyapunov-Krasovskii function containing all sampled-data and quantization information, along with the design of a dissipative controller for non-fragile sampled-data, leads to significant improvements as demonstrated through reasonable examples.

INFORMATION SCIENCES (2021)

Article Automation & Control Systems

Dissipativity Analysis for T-S Fuzzy System Under Memory Sampled-Data Control

Chao Ge et al.

Summary: This paper focuses on the dissipative stability problem for a class of Takagi-Sugeno (T-S) fuzzy systems with variable sampling control. The goal is to design a sampled-data controller for global asymptotic stability, utilizing a novel approach with Lyapunov-Krasovskii functional and looped-functional and free-matrix-based inequality method. The proposed LMI conditions can be easily solved using MATLAB, and a numerical example is presented to demonstrate the benefits and superiority of the proposed scheme.

IEEE TRANSACTIONS ON CYBERNETICS (2021)

Article Engineering, Mechanical

Dynamic event-triggered scheduling and control for vehicle active suspension over controller area network

Xiaohua Ge et al.

Summary: This paper presents an approach for dynamic event-triggered scheduling and control co-design in active suspension systems, aiming to improve suspension performance and reduce resource occupancy over CAN. By developing dynamic event-triggered schedulers and deriving stability criteria, the comprehensive trade-off analysis between network quality of service and control performance is achieved.

MECHANICAL SYSTEMS AND SIGNAL PROCESSING (2021)

Article Computer Science, Artificial Intelligence

Dissipativity-Based Sampled-Data Control for Fuzzy Switched Markovian Jump Systems

Jianwei Xia et al.

Summary: This article investigates the dissipativity-based sampled-data control problem for FSMJSs, proposing stability and dissipativity criteria, and revealing the relationship between ADT and sampling period. Based on the criteria, a sampled-data controller is designed and validated with a circuit simulation example.

IEEE TRANSACTIONS ON FUZZY SYSTEMS (2021)

Article Computer Science, Artificial Intelligence

Modified Looped Functional for Sampled-Data Control of T-S Fuzzy Markovian Jump Systems

Chaoxu Guan et al.

Summary: This article investigates the sampled-data control for a class of Takagi-Sugeno (T-S) fuzzy Markovian jump systems using a novel looped functional approach. A sufficient criterion is presented to ensure the stochastic stability of the closed-loop system, and the sampled-data controller is designed for the T-S fuzzy Markovian jump system under the influence of asynchronous premise variables. The effectiveness and superiority of the proposed method are demonstrated through a numerical example and a practical application.

IEEE TRANSACTIONS ON FUZZY SYSTEMS (2021)

Article Computer Science, Information Systems

Robust event-triggered reliable control for T-S fuzzy uncertain systems via weighted based inequality

G. Nagamani et al.

INFORMATION SCIENCES (2020)

Article Automation & Control Systems

Asynchronous control of T-S fuzzy chaotic systems via a unified model using the hidden Markov model subject to strict dissipativity

Chuancan Xu et al.

OPTIMAL CONTROL APPLICATIONS & METHODS (2020)

Article Automation & Control Systems

Dissipativity-based sampled-data control of fuzzy Markovian jump systems with incomplete transition rates

Tianshu Xu et al.

JOURNAL OF THE FRANKLIN INSTITUTE-ENGINEERING AND APPLIED MATHEMATICS (2020)

Article Automation & Control Systems

Asynchronous Control of Continuous-Time Nonlinear Markov Jump Systems Subject to Strict Dissipativity

Shanling Dong et al.

IEEE TRANSACTIONS ON AUTOMATIC CONTROL (2019)

Article Automation & Control Systems

Quantized Control of Markov Jump Nonlinear Systems Based on Fuzzy Hidden Markov Model

Shanling Dong et al.

IEEE TRANSACTIONS ON CYBERNETICS (2019)

Article Automation & Control Systems

Dissipativity-Based Non-fragile Sampled-Data Control for Fuzzy Markovian Jump Systems

Xingyue Liang et al.

INTERNATIONAL JOURNAL OF FUZZY SYSTEMS (2019)

Article Automation & Control Systems

Passivity-Based Asynchronous Sliding Mode Control for Delayed Singular Markovian Jump Systems

Fanbiao Li et al.

IEEE TRANSACTIONS ON AUTOMATIC CONTROL (2018)

Article Automation & Control Systems

Mixed H2/H∞ control of hidden Markov jump systems

A. M. de Oliveira et al.

INTERNATIONAL JOURNAL OF ROBUST AND NONLINEAR CONTROL (2018)

Article Automation & Control Systems

State-feedback control of Markov jump linear systems with hidden-Markov mode observation

Masaki Ogura et al.

AUTOMATICA (2018)

Article Computer Science, Theory & Methods

A novel approach to stability and stabilization of fuzzy sampled-data Markovian chaotic systems

Ruimei Zhang et al.

FUZZY SETS AND SYSTEMS (2018)

Article Engineering, Electrical & Electronic

T-S Fuzzy-Affine-Model-Based Reliable Output Feedback Control of Nonlinear Systems with Actuator Faults

Yanling Wei et al.

CIRCUITS SYSTEMS AND SIGNAL PROCESSING (2018)

Article Automation & Control Systems

H2-Control of Continuous-Time Hidden Markov Jump Linear Systems

F. Stadtmann et al.

IEEE TRANSACTIONS ON AUTOMATIC CONTROL (2017)

Article Automation & Control Systems

Exponential stabilization for fuzzy sampled-data system based on a unified framework and its application

Jingying Li et al.

JOURNAL OF THE FRANKLIN INSTITUTE-ENGINEERING AND APPLIED MATHEMATICS (2017)

Article Automation & Control Systems

Nonfragile H∞ Filter Design for T-S Fuzzy Systems in Standard Form

Xiao-Heng Chang et al.

IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS (2014)

Article Engineering, Electrical & Electronic

Nonfragile H∞ Filtering of Continuous-Time Fuzzy Systems

Xiao-Heng Chang et al.

IEEE TRANSACTIONS ON SIGNAL PROCESSING (2011)