Model-dependent Scheduling and H-infinity Control Co-design for Networked Control Systems

Zhao, Shunli; Ji, Yuehui

doi:10.1007/s12555-019-0177-3

Cited by 7 publications

(17 citation statements)

References 35 publications

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“…The core of the MRS is that the states that can access the network are dependent on the errors between the ideal dynamic and the physical system. The system without MAC and time delay can be regarded as the ideal dynamic (see [26]). The ideal dynamic and the physical system run in parallel.…”

Section: Gmrsmentioning

confidence: 99%

“…In order to reduce the conservatism, an initial version of model reference scheduling (MRS), called model-dependent scheduling (MDS), is proposed in [26], where the ideal dynamic is introduced, and the absolute value of the error between the real system and the ideal dynamic is used. Although this work is promising, it also has conservatism.…”

Section: Introductionmentioning

confidence: 99%

“…Although this work is promising, it also has conservatism. Besides, only the uncertainty of the control matrix is considered in [26], while the uncertainty of the system matrix is not involved. Motivated by this, we propose a GMRS in this paper.…”

Section: Introductionmentioning

confidence: 99%

“…(1) Extending the modeling approach proposed in [26]; the uncertainty in the system matrix and the uncertainty in the control matrix are considered. Two representative cases of the processing of the sensor information, zero-order hold and non-zero-order hold, are analyzed when the state cannot gain the access to the network.…”

Section: Introductionmentioning

confidence: 99%

“…Two representative cases of the processing of the sensor information, zero-order hold and non-zero-order hold, are analyzed when the state cannot gain the access to the network. (2) Generalizing the MDS in [26]; the conservatism of the MDS is obviously decreased.…”

Section: Introductionmentioning

confidence: 99%

See 4 more Smart Citations

Generalized Model Reference Scheduling and Control Co-Design with Guaranteed Performance

2021

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In this paper, a generalized model-reference scheduling (GMRS) scheme is proposed for a networked control system (NCS) with guaranteed performance control and medium access constraint (MAC). The GMRS presented reduces conservatism to some extent, and its performance is improved by adjusting the weighted gain. In addition, two cases of uncertainty existing in the system matrix and control matrix are considered. For the first case, a co-design of guaranteed performance control and the GMRS is studied for the NCS with and without zero-order hold mechanism. For the second case, the uncertainty induced from time delay is considered in the guaranteed performance control and the GMRS co-design. Finally, illustrative examples are given to demonstrate the effectiveness of the proposed co-design schemes.

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Section: Gmrsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Generalized Model Reference Scheduling and Control Co-Design with Guaranteed Performance

2021

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Unified finite‐time fault estimation and fault‐tolerant control for Takagi–Sugeno fuzzy singular systems

Keerthana,

Sakthivel,

Aravinth

et al. 2024

Adaptive Control & Signal

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SummaryWith the aid of a proportional integral framework, the presented article focuses on the problems of finite‐time boundedness and fault estimation for Takagi–Sugeno fuzzy singular systems subject to time delays, faults and external disturbances. To commence, we conjure up a fuzzy‐dependent intermediate variable and from thereon, a proportional integral‐based fuzzy intermediate estimator is constructed. Moreover, the constructed estimator precisely facilitates for estimating the fault signals and system states in simultaneously. Besides this, the integral term in the proportional integral estimator offers greater design flexibility and higher resilience. Secondly, an intermediate estimator‐based fault‐tolerant control is devised by availing the information from the proportional integral‐based fuzzy intermediate estimator, which aids in effectively compensating the faults arising in the system. Subsequently, by setting up an appropriate Lyapunov–Krasovskii functional, the set of adequate requirements asserting the finite‐time boundedness with the endorsed mixed and passivity performance index is established in terms of linear matrix inequalities. After that, an explicit framework for the requisite gain matrices can be found forth basing on the formed linear matrix inequality criteria. Ultimately, simulation findings are supplied to evaluate the utility and applicability of the theoretical insights.

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Dynamic event‐triggered dissipative control of nonlinear networked control systems with deception attacks

Zhan

et al. 2023

Asian Journal of Control

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For nonlinear networked control systems with deception attacks, the problem of dynamic event‐triggered dissipative control is researched in this article. First, on the basis of nonlinear networked control systems model, a dynamic event triggered scheme is proposed to save impact of network bandwidth. Second, considering the impact of time delay, a networked time‐delay system model under deception attacks is established. Third, by constructing a new and less conservative Lyapunov function, using linear matrix inequality and unilateral Lipschitz condition, we derive some new sufficient conditions to guarantee the asymptotically stability of nonlinear networked control systems and strictly ‐dissipative performance. Besides, a cooperative design strategy of dynamic event triggered scheme parameters and controller gain is put forward. Finally, a simulation example is given to prove feasibility and rationality of the proposed strategy.

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Model-dependent Scheduling and H-infinity Control Co-design for Networked Control Systems

Cited by 7 publications

References 35 publications

Generalized Model Reference Scheduling and Control Co-Design with Guaranteed Performance

Generalized Model Reference Scheduling and Control Co-Design with Guaranteed Performance

Unified finite‐time fault estimation and fault‐tolerant control for Takagi–Sugeno fuzzy singular systems

Dynamic event‐triggered dissipative control of nonlinear networked control systems with deception attacks

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