Observer-Based Event-Triggered Adaptive Decentralized Fuzzy Control for Nonlinear Large-Scale Systems

Cao, Liang; Li, Hongyi; Wang, Weining; Zhou, Qi

doi:10.1109/tfuzz.2018.2873971

Cited by 177 publications

(70 citation statements)

References 36 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Therefore, for any matrix Q = Q T > 0, there exists a matrix P = P T > 0 that satisfies the Lyapunov equation A T P + PA = −Q. In addition, utilizing Young's inequality and (14) to get…”

Section: Adaptive Observer Designmentioning

confidence: 99%

“…In the work of Wang and Wu et al, 12,13 an AFTC was considered for nonlinear nonstrict-feedback systems with actuator failures and by constructing filter to estimate unmeasured states. There are also some scholars to design decentralized fault tolerant (DFT) control strategy for large-scale systems 14,15 based on the constructed state observer. In addition, Zhang and Yang 16 proposed a low-complexity state feedback fault tolerant control (FTC) technology with error constraints, the studied actuator faults include loss of effectiveness fault and the float fault.…”

Section: Introductionmentioning

confidence: 99%

“…By applying FLSs to model parametric uncertainty, a FT controller was constructed for a class of nonlinear systems with mismatched disturbances. 29 Furthermore, it is difficult to get all the information of the most systems, so various observers have been designed to estimate the states, disturbances and parametric uncertainty, such as FLSs/NNs observer, [12][13][14]27 DFT observer, 15 disturbance rejection filter, 30,31 and so on.…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Observer‐based finite time adaptive fault tolerant control for nonaffine nonlinear systems with actuator faults and disturbances

Zhang

et al. 2020

Adaptive Control & Signal

View full text Add to dashboard Cite

This paper studies the problem of observer-based finite time adaptive fault tolerant control for nonaffine nonlinear systems with actuator faults and disturbances. Based on mean value theorem and convex combination method, a adaptive neural observer with virtual control coefficients is designed to estimate the systems states. Then, by using funnel Lyapunov function and backstepping method, a finite time control scheme is designed in the presence of disturbances and actuator faults. The stability analysis proves that tracking errors can converge to the prescribed performance bound in a finite time and all signals are uniformly ultimately bounded. Finally, simulation results verify efficiency of the studied approach.

show abstract

“…Therefore, for any matrix Q = Q T > 0, there exists a matrix P = P T > 0 that satisfies the Lyapunov equation A T P + PA = −Q. In addition, utilizing Young's inequality and (14) to get…”

Section: Adaptive Observer Designmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Observer‐based finite time adaptive fault tolerant control for nonaffine nonlinear systems with actuator faults and disturbances

Zhang

et al. 2020

Adaptive Control & Signal

View full text Add to dashboard Cite

show abstract

“…As a special class of hybrid systems, Markovian jump systems have been a focus of study during the past few decades, which can model many actual control processes and systems, such as networked control systems, manufacturing systems, fault‐detection systems, and other systems . It is noticeable that most of the results about Markovian jump systems have been obtained under the assumption of completely accessible knowledge of the transition rates in the jumping process.…”

Section: Introductionmentioning

confidence: 99%

“…Due to a variety of complex factors, sometimes, the system states are not accessible. In order to develop less conservative theories and methodologies, the observer design is a necessary and significant method in addressing such issues . In addition, the Lyapunov‐Krasovskii functional in the work of Zhao et al is given as

V false(ξ false(t false), i false) = ξ^{T} false(t false) P_{i} ξ false(t false) + \int_{t - τ false(t false)}^{t} ξ^{T} false(s false) Q_{1} ξ false(s false) d s

, which may give rise to some conservativeness.…”

Section: Introductionmentioning

confidence: 99%

Observer design for stochastic time‐delayed Markovian jump systems with incomplete transition rates and actuator saturation

Gao

Kao

et al. 2019

Optim Control Appl Methods

View full text Add to dashboard Cite

Summary This paper is concerned with observer design for stochastic time‐delayed Markovian jump systems with incomplete transition rates and actuator saturation. By employing mode‐dependent Lyapunov‐Krasovskii functional, an observer‐based feedback controller is designed to guarantee stochastic stability of the corresponding closed‐loop saturated system and an estimation of the domain of attraction in the mean square is expanded. The procedure of deriving observer gain matrices is converted into an optimization problem with constraints of a set of linear matrix inequalities. Finally, the vertical take‐off and landing helicopter model is given to demonstrate the validity of the main results.

show abstract

Energy efficient nonfragile control protocol for nonlinear large‐scale systems with input quantization

Tharanidharan

Sakthivel

Ren

et al. 2020

Adaptive Control & Signal

View full text Add to dashboard Cite

SummaryThe problem of robust stabilization for a class of nonlinear large‐scale systems with the energy constraints and time‐varying actuator faults is addressed in this article. In the considered system, the stabilization criteria is achieved via a sensor‐network‐based distributed fault‐tolerant controller. Moreover to limit the consumption of energy by the sensors, the measurement size reduction technique and communication rate reduction approach are implemented such that the resulting closed‐loop system is stable within a predefined extended passive performance index level. In particular, the sensor signal quantization technique is used to reduce the frequency and size of the transmitted data packet in the communication sequence. Based on the switched system theory and Lyapunov approach, a new set of sufficient conditions is obtained in the form of linear matrix inequality constraints to ensure the exponential stabilization of the considered system. The developed fault‐tolerant resilient control gains are designed by resorting to the cone complementarity linearization algorithm. Moreover, a nonisothermal continuous stirred‐tank reactor with interconnection is considered as an example to demonstrate the effectiveness of the proposed design technique.

show abstract

Observer-Based Event-Triggered Adaptive Decentralized Fuzzy Control for Nonlinear Large-Scale Systems

Cited by 177 publications

References 36 publications

Observer‐based finite time adaptive fault tolerant control for nonaffine nonlinear systems with actuator faults and disturbances

Observer‐based finite time adaptive fault tolerant control for nonaffine nonlinear systems with actuator faults and disturbances

Observer design for stochastic time‐delayed Markovian jump systems with incomplete transition rates and actuator saturation

Energy efficient nonfragile control protocol for nonlinear large‐scale systems with input quantization

Contact Info

Product

Resources

About