Optimal Filtered and Smoothed Estimators for Discrete-Time Linear Systems With Multiple Packet Dropouts Under Markovian Communication Constraints

Ren, Hongru; Xiong, Junlin; Wu, Yuanqing; Shi, Peng

doi:10.1109/tcyb.2019.2924485

Cited by 70 publications

(24 citation statements)

References 39 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…For the sake of achieving formation control well, a mass of information transmissions are carried out among MVs and the inside of each MV [11] . The general control method of periodic communication leads to a waste of communication resources [12] . The event-triggered control (ETC) strategy is usually used to deal with this issue [13][14][15][16][17][18][19][20][21] , where its advantages were discussed in [22], and the system design of event-based feedback control was first implemented in [23].…”

Section: Introductionmentioning

confidence: 99%

Distributed Event-Triggered Formation Control of USVs with Prescribed Performance

et al. 2021

Self Cite

View full text Add to dashboard Cite

In this paper, the formation control problem is investigated for a team of uncertain underactuated surface vessels (USVs) based on a directed graph. Considering the risk of collision and the limited communication range of USVs, the prescribed performance control (PPC) methodology is employed to ensure collision avoidance and connectivity maintenance. An event-triggered mechanism is designed to reasonably use the limited communication resources. Moreover, neural networks (NNs) and an auxiliary variable are constructed to deal with the problems of uncertain nonlinearities and underactuation, respectively. Then, an event-triggered formation control scheme is proposed to ensure that all signals of the closed-loop system are uniformly ultimately bounded (UUB). Finally, simulation results are presented to demonstrate the effectiveness of the proposed control scheme.

show abstract

Section: Introductionmentioning

confidence: 99%

Distributed Event-Triggered Formation Control of USVs with Prescribed Performance

et al. 2021

Self Cite

View full text Add to dashboard Cite

show abstract

“…Note that the above mentioned results were based on the time-triggered mode, that is, the control laws need to be updated at regular intervals, which may result in unnecessary computation, communication, and energy consumption. [17][18][19][20] Different from time-triggered control method, the event-triggered control method adopts on-demand sampling strategy, which can alleviate communication and computation burden caused by unnecessary sampling. [21][22][23][24][25] The corresponding event-triggered controllers are updated only when the designed event-triggered conditions are violated.…”

Section: Introductionmentioning

confidence: 99%

“…In Reference 16, a guaranteed cost neural tracking robust controller was obtained, which not only ensured the convergence of tracking error but also achieved the requirement of guaranteed cost. Note that the above mentioned results were based on the time‐triggered mode, that is, the control laws need to be updated at regular intervals, which may result in unnecessary computation, communication, and energy consumption 17–20 …”

Section: Introductionmentioning

confidence: 99%

Event‐triggered guaranteed cost fault‐tolerant optimal tracking control for uncertain nonlinear system via adaptive dynamic programming

Guo

Yao

Bai

et al. 2021

Intl J Robust & Nonlinear

Self Cite

View full text Add to dashboard Cite

In this article, an event-triggered guaranteed cost optimal tracking control problem is investigated for a class of uncertain nonlinear system with partial loss of actuator effectiveness faults. To begin with, an augmented system consisted of error system and reference system is constructed to simplify the tracking controller design. Then, in order to consider both actuator faults and system uncertainties in optimal tracking control, an improved discounted cost function is developed. Furthermore, a single critic neural network adaptive dynamic programming algorithm is utilized to implement the event-based approximate optimal controller design. Different from static event-triggered mechanism, the dynamic event-triggered mechanism proposed in this article with an internal dynamic signal can further improve execution efficiency. A Lyapunov-based stability analysis is given to demonstrate the uniformly ultimately bounded stability of the closed-loop system. Finally, two typical nonlinear simulations are presented to verify the developed control method.

show abstract

“…For instance, a quantized scheme was developed for linear systems in Reference 5, and an adaptive quantizer was designed for stochastic nonlinear systems in Reference 6. Recently, multi‐agent consensus problems have attracted much attention in view of their applications in various disciplines, such as cooperative surveillance, 7 distributed sensor networks, 8 and others 9‐14 …”

Section: Introductionmentioning

confidence: 99%

Adaptive event‐triggered consensus control of multi‐agent systems with prescribed performance and input quantization

Wang

MaHui

Liang

2021

Adaptive Control & Signal

View full text Add to dashboard Cite

Summary This paper focuses on the adaptive fuzzy event‐triggered consensus control problem for multi‐agent systems (MAS) with prescribed performance and input quantization. Based on a prescribed performance function and an input quantization decomposition method, a new adaptive fuzzy event‐triggered consensus protocol is presented. The instances in the event‐triggered mechanism are triggered only when the event‐triggered error exceeds a specified threshold, which can save limited communication resources. It is demonstrated that the event‐triggered control protocol ensures that all signals in the MAS are semi‐globally uniformly ultimately bounded. As a result, the consensus tracking errors converge to prescribed limits. Finally, simulation examples are provided to validate effectiveness of the proposed event‐triggered control methods.

show abstract

Optimal Filtered and Smoothed Estimators for Discrete-Time Linear Systems With Multiple Packet Dropouts Under Markovian Communication Constraints

Cited by 70 publications

References 39 publications

Distributed Event-Triggered Formation Control of USVs with Prescribed Performance

Distributed Event-Triggered Formation Control of USVs with Prescribed Performance

Event‐triggered guaranteed cost fault‐tolerant optimal tracking control for uncertain nonlinear system via adaptive dynamic programming

Adaptive event‐triggered consensus control of multi‐agent systems with prescribed performance and input quantization

Contact Info

Product

Resources

About