Event-Based Adaptive Neural Tracking Control for Discrete-Time Stochastic Nonlinear Systems: A Triggering Threshold Compensation Strategy

Wang, Min; Wang, Zidong; Chen, Yun; Sheng, Weiguo

doi:10.1109/tnnls.2019.2927595

Cited by 124 publications

(48 citation statements)

References 54 publications

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“…Finally, a simulation example has been given to validate the effectiveness of the proposed filter design scheme. A possible topic for future research is to extend the main results to more general nonlinear systems such as nonlinear polynomial systems, 44,45 Markovian jumping systems, 46 time‐delay systems 47‐49 …”

Section: Discussionmentioning

confidence: 99%

Protocol‐based extended Kalman filtering with quantization effects: The Round‐Robin case

Liu

Wang

et al. 2020

Intl J Robust & Nonlinear

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This article investigates the extended Kalman filtering problem for a class of stochastic nonlinear systems with quantization effects and Round-Robin (RR) communication protocols. The uniform quantization is considered and the resulting quantization error is characterized as an additive white noise sequence obeying the uniform distribution over certain intervals. For the sake of reducing communication traffic of the network as well as alleviating data collisions, the RR mechanism is introduced to schedule the data transmission from the sensors to the filter. By combining the periodic property of the RR protocol and the zero-order holder strategy, the input signal of the filter is modeled by a sequence of delayed quantized measurements. The main purpose of this article is to design an extended Kalman filter for the stochastic nonlinear systems, in the simultaneous presence of quantization errors, stochastic nonlinearities, and stochastic noises, such that an optimized upper bound for the filtering error covariance is derived. By solving two coupled Riccati-like difference equations, the filter gain matrix is explicitly formulated. An RR protocol-based recursive filtering algorithm is developed for the online implementation. Furthermore, a sufficient condition is established to ensure the uniform boundedness of the filtering error in the mean-square sense. Finally, a simulation example is given to demonstrate the practical validity of the designed filter algorithm.

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Section: Discussionmentioning

confidence: 99%

Protocol‐based extended Kalman filtering with quantization effects: The Round‐Robin case

Liu

Wang

et al. 2020

Intl J Robust & Nonlinear

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“…Finally, a simulation example has been given to demonstrate the effectiveness of the proposed control method. The further topic motivated by the main results can be listed as: (1) the extension of the method to observer-based SMC for networked systems with different communication transmission protocols as in Shen, Wang, Shen, Alsaadi, and Alsaadi (2020), Liu, Wang, Chen, and Wei (2019), Wang, Wang, Chen, and Sheng (2019), Zou, Wang, Hu, and Gao (2017), Zou, Wang, Hu, and Zhou (2020) and quantized observation in Zou, Wang, Hu, and Han (2020), Liu, Wang, Han, and Jiang (2020); (2) the discussion of the less conservatism of proposed SMC technique handling the delays.…”

Section: Discussionmentioning

confidence: 99%

Observer-based sliding mode control for discrete nonlinear systems with packet losses: an event-triggered method

Guan

Cui

et al. 2020

Systems Science & Control Engineering

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In this paper, the observer-based output feedback sliding mode control (SMC) problem is investigated for discrete delayed nonlinear systems subject to packet losses under the event-triggered strategy. It is assumed that the packet losses may occur in the control channel from the sensor to the observer. A suitable compensation strategy via the Bernoulli distributed random variable is used to reduce the effects of packet losses. In order to avoid the phenomenon of network congestion during the networked transmission, an event-triggered mechanism is introduced to determine if the last released measurement needs to be updated. Based on the zero-order-hold (ZOH) measurement, an output feedback observer is designed to reconstruct the system state. This method can facilitate the design of the discrete-time sliding surface. A sufficient condition is proposed to guarantee the stochastic stability of sliding mode dynamics systems by using linear matrix inequality (LMI) method, and a novel observer-based sliding mode controller is synthesized to force the trajectories of the error systems onto the pre-designed sliding mode surface within finite time. Finally, an example is given to illustrate the validity of the proposed theoretical result.

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“…Therefore, it is very important to select the appropriate penalty threshold to meet the system performance. In the past few years, significant progress has been made on the eventbased control/filtering issues, such as recursive filtering (Ding et al, 2019;Wang, Wang, Chen et al, 2020) and tracking control (Wang, Wang, Chen et al, 2019;Wang, Zheng et al, 2019). It should be pointed out the interval observer-based control issue under eventtriggered control strategy has not been investigated despite its engineering insight, which motivates our current investigation.…”

Section: Introductionmentioning

confidence: 99%

Event-triggered control for discrete-time systems with unknown nonlinearities: an interval observer-based approach

Wei

Liu

Wang

et al. 2020

International Journal of Systems Science

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This paper is concerned with the interval observer-based control for a class of nonlinear systems with unknown nonlinearities. For the purpose of effectively reducing network congestion and improving resource utilisation, an event-triggered strategy is proposed for the channel between the interval observer and the controller. The designed controller with two gains is nontrivial and adequately utilises the real-time information of both the upper bound and the lower bound of system states. By using the monotonicity theory combined with the Lyapunov stability, some sufficient conditions are developed to ensure the closed-loop system with the given event-triggering scheme is input-tostate stable with the simultaneous presence of external disturbances and unknown nonlinearities. Two controller gain matrices and an observer gain are designed via the solution of a set of matrix inequalities. Finally, a simulation example is given to illustrate the effectiveness of the proposed control scheme.

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Event-Based Adaptive Neural Tracking Control for Discrete-Time Stochastic Nonlinear Systems: A Triggering Threshold Compensation Strategy

Cited by 124 publications

References 54 publications

Protocol‐based extended Kalman filtering with quantization effects: The Round‐Robin case

Protocol‐based extended Kalman filtering with quantization effects: The Round‐Robin case

Observer-based sliding mode control for discrete nonlinear systems with packet losses: an event-triggered method

Event-triggered control for discrete-time systems with unknown nonlinearities: an interval observer-based approach

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