Finite‐time sampled‐data fuzzy control for a non‐linear system using passivity and passification approaches and its application

Vadivel, R.; Joo, Young Hoon

doi:10.1049/iet-cta.2019.0648

Cited by 15 publications

(7 citation statements)

References 44 publications

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“…Subsequently, for the superiority of finite-time convergence, Zhang and Cao [16] introduced the concept of synchronization guideline for inertial NNs with time delays and a new inequality method. On the other hand, the passivity theory has played an important tool to study the stability analysis of dynamical systems [17], the passification, similar to the problem of stabilization for a dynamical system, is to design a controller to ensure the passivity of the system [18,19]. The previously mentioned literature maximum studied the passivity-based control techniques and obtained the stability in the infinite time interval.…”

Section: Introductionmentioning

confidence: 99%

Event‐triggered synchronization for stochastic delayed neural networks: Passivity and passification case

Vadivel

Hammachukiattikul

Zhu

et al. 2022

Asian Journal of Control

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This article investigates the event-triggered synchronization problem of stochastic neural networks under passivity and passification cases. For saving communication resources, an event-triggered approach is engaged in the design of synchronization for the delayed stochastic neural networks. To decrease network trouble, an event-triggered scheme is suggested between the sampler and communication network. A nonfragile event-triggered controller is intended to guarantee the finite-time stability of the subsequent closed-loop system. By applying the Lyapunov-Krasovkii functional (LKF) and the novel integral inequalities, a stability criteria for an interval-time varying delay error system ensure the designed controller can fulfill the necessities of passivity and passification performance. The desired control gain and event-triggered parameters are then found based on the linear matrix inequalities (LMIs). Finally, illustrative examples are given to show the benefits and validity of the desired control law.

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Section: Introductionmentioning

confidence: 99%

Event‐triggered synchronization for stochastic delayed neural networks: Passivity and passification case

Vadivel

Hammachukiattikul

Zhu

et al. 2022

Asian Journal of Control

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“…However, today, the ABS is very important for passenger car safety, so further efforts should be made to continue studying it. In fact, novel techniques can be applied such as those in [14][15][16].…”

Section: Introductionmentioning

confidence: 99%

A Modified HOSM Controller Applied to an ABS Laboratory Setup with Adaptive Parameter

García

Covantes

Guzmán

et al. 2021

Mathematical Problems in Engineering

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The antilock braking system (ABS) is an electromechanical device whose controller is challenging to design because of its nonlinear dynamics and parameter uncertainties. In this paper, an adaptive controller is considered under the assumption that the friction coefficient is unknown. A modified high-order sliding-mode controller is designed to enhance the controller performance. The controller ensures tracking of the desired reference and identifies the unknown parameter, despite parametric variations acting on the real system. The stability proof is done using the Lyapunov approach. Some numerical and experimental tests evaluate the controller on a mechatronic system that represents a quarter-car model.

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“…As is well known that FTS is different from the Lyapunov case, it gives more solutions of transient performance control. Owing to the merits of the FTS, many valuable achievements have been made over the past years [20]. However, to our knowledge, most of the previous results are assumed that the data communication keeps continuous between sensors and controllers.…”

Section: Introductionmentioning

confidence: 99%

“…Proof. By resorting to the same Lyapunov functional as displayed in (20), and adopting the similar derivations in the proof of eorem…”

mentioning

confidence: 99%

Load Frequency Control for Power Systems with Actuator Faults within a Finite-Time Interval

Qiu¹,

Weng²,

Yu³

et al. 2021

Mathematical Problems in Engineering

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This paper is concerned with the issue of finite-time H ∞ load frequency control for power systems with actuator faults. Concerning various disturbances, the actuator fault is modeled by a homogeneous Markov chain. The aperiodic sampling data controller is designed to alleviate the conservatism of attained results. Based on a new piecewise Lyapunov functional, some novel sufficient criteria are established, and the resulting power system is stochastic finite-time bounded. Finally, a single-area power system is adjusted to verify the effectiveness of the attained results.

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Finite‐time sampled‐data fuzzy control for a non‐linear system using passivity and passification approaches and its application

Cited by 15 publications

References 44 publications

Event‐triggered synchronization for stochastic delayed neural networks: Passivity and passification case

Event‐triggered synchronization for stochastic delayed neural networks: Passivity and passification case

A Modified HOSM Controller Applied to an ABS Laboratory Setup with Adaptive Parameter

Load Frequency Control for Power Systems with Actuator Faults within a Finite-Time Interval

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