Event-Triggered Control of Robotic Fish With Reduced Communication Rate

Zuo, Wenyu; Chakravarthy, Animesh; Malisoff, Michael; Chen, Zheng

doi:10.1109/lra.2022.3190612

Cited by 5 publications

(2 citation statements)

References 27 publications

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“…Conventional periodic control signals can lead to excessive communication loads on the controller, [1,2] and event-mechanism control schemes based on system state errors can effectively solve this problem. Researchers of event-triggering mechanism control have proposed two main schemes: event-triggered (ET) control [3][4][5][6] and ST control. [7][8][9][10] MPC is widely used in control processes because of its superiority in improving system control performance and its ability to handle optimization problems with constraints.…”

Section: Introductionmentioning

confidence: 99%

“…Conventional periodic control signals can lead to excessive communication loads on the controller, [ 1,2 ] and event‐mechanism control schemes based on system state errors can effectively solve this problem. Researchers of event‐triggering mechanism control have proposed two main schemes: event‐triggered (ET) control [ 3–6 ] and ST control. [ 7–10 ]…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Model Predictive Control for Nonlinear Systems Under Sample‐and‐Hold Control Structure: An Integral‐Type Double Self‐Triggering Method

Li,

Xu,

et al. 2023

Advcd Theory and Sims

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This study examined the control problem of continuous‐time nonlinear systems under a sample‐and‐hold control structure. A new integral‐type double self‐triggered (ST) model predictive control (MPC) approach is developed by combining a novel ST strategy with MPC, which significantly decreases the sampling frequency of the system, saving computation/communication resources. In contrast to the traditional ST strategy, two integral‐type self‐triggering mechanisms are designed based on the mode of the state and the integral of the difference between the optimal and actual states. In addition, the integral‐type double ST‐MPC algorithm is developed, and the feasibility and stability of the closed‐loop system are rigorously demonstrated. Finally, the effectiveness and superiority of the proposed algorithm are verified by comparing the simulation results with those of existing ST‐MPC methods.

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Model Predictive Control for Nonlinear Systems Under Sample‐and‐Hold Control Structure: An Integral‐Type Double Self‐Triggering Method

Li,

Xu,

et al. 2023

Advcd Theory and Sims

View full text Add to dashboard Cite

show abstract

Design of delay-dependent state estimation algorithm for nonlinear coupling complex networks with dynamical bias: An adaptive event-triggered scheme

Liu

2023

Neurocomputing

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Event-Based Control for Discrete-Time Linear Parameter-Varying Systems: An Emulation-Based Design

Moreira,

da Silva,

Peixoto

et al. 2024

2024 UKACC 14th International Conference on Control (CONTROL)

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In this paper, we present an event-based control technique for discrete-time linear parameter-varying (LPV) systems by employing an emulation approach. A new condition to design an event-triggering mechanism is proposed, and an optimisation procedure is presented to minimise the number of events. The conditions are formulated in the form of parameter-dependent linear matrix inequalities. A polynomial parameter-dependent controller is employed to stabilize the system. The impact of increasing the polynomial degree of the controller matrices on the number of events is investigated. The effectiveness of the method is illustrated through a numerical example.

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Event-Triggered Control of Robotic Fish With Reduced Communication Rate

Cited by 5 publications

References 27 publications

Model Predictive Control for Nonlinear Systems Under Sample‐and‐Hold Control Structure: An Integral‐Type Double Self‐Triggering Method

Model Predictive Control for Nonlinear Systems Under Sample‐and‐Hold Control Structure: An Integral‐Type Double Self‐Triggering Method

Design of delay-dependent state estimation algorithm for nonlinear coupling complex networks with dynamical bias: An adaptive event-triggered scheme

Event-Based Control for Discrete-Time Linear Parameter-Varying Systems: An Emulation-Based Design

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