Dynamic Event-Triggered Model Predictive Control With Guaranteed Rigorous Satisfaction of Probabilistic Path Constraints-Reference-Cited by-同舟云学术

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Dynamic Event-Triggered Model Predictive Control With Guaranteed Rigorous Satisfaction of Probabilistic Path Constraints

Published:2023-12 Issue:12 Volume:53 Page:7681-7692
ISSN:2168-2216
Container-title:IEEE Transactions on Systems, Man, and Cybernetics: Systems
language:
Short-container-title:IEEE Trans. Syst. Man Cybern, Syst.

Author:

Liu Yanhui¹^ORCID,Fu Jun¹^ORCID

Affiliation:

1. State Key Laboratory of Synthetical Automation for Process Industries, Northeastern University, Shenyang, China

Funder

National Natural Science Foundation of China

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Computer Science Applications,Human-Computer Interaction,Control and Systems Engineering,Software

Link

http://xplorestaging.ieee.org/ielx7/6221021/10321818/10220195.pdf?arnumber=10220195

Reference42 articles.

1. Stochastic self-triggered model predictive control for linear systems with probabilistic constraints

2. Local optimization of dynamic programs with guaranteed satisfaction of path constraints

3. Perception-Driven Motion Control Based on Stochastic Nonlinear Model Predictive Controllers

4. A Quasi-Infinite Horizon Nonlinear Model Predictive Control Scheme with Guaranteed Stability∗∗This paper was not presented at any IFAC meeting. This paper was accepted for publication in revised form by Associate Editor W. Bequette under the direction of Editor Prof. S. Skogestad.

5. Distributed stochastic model predictive control for cyber–physical systems with multiple state delays and probabilistic saturation constraints

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