Double-Closed-Loop Robust Optimal Control for Uncertain Nonlinear Systems

Han, Hugang; Zhang, Jiacheng; Hou, Ying; Qiao, Junfei

doi:10.1109/tcyb.2023.3266391

Cited by 3 publications

(2 citation statements)

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“…Distributed optimal coordination is a hot research topic in distributed problems, which has been extensively applied in localization and sensor networks, and has achieved many important results in this field. [5][6][7] In distributed optimization problems, multiple individuals collaborate in a distributed manner to minimize or maximize the global cost function composed of the sum of multiple local cost functions. 8,9 However, the systems' actuators are constantly aging due to the increase of working time, such that actuator faults become an unavoidable problem, which may cause a decrease in system performance and may even become an unstable factor if not resolved in a timely manner.…”

Section: Introductionmentioning

confidence: 99%

“…In the past few decades, distributed control for multi‐agent systems has attracted researchers' attentions 1–4 due to its obvious advantages of low power consumption and high flexibility. Distributed optimal coordination is a hot research topic in distributed problems, which has been extensively applied in localization and sensor networks, and has achieved many important results in this field 5–7 . In distributed optimization problems, multiple individuals collaborate in a distributed manner to minimize or maximize the global cost function composed of the sum of multiple local cost functions 8,9 .…”

Section: Introductionmentioning

confidence: 99%

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Resilient event‐triggered fault‐tolerant optimization for Euler–Lagrange plants with intermittent communication and asynchronous DoS attacks

Yuan,

Yao,

Park

et al. 2024

Intl J Robust & Nonlinear

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This paper investigates the distributed optimization problem of networked Euler–Lagrange (EL) systems with actuator faults and unknown model parameters. In order to solve this issue, some event‐triggered fault‐tolerant (ETFT) optimal coordination algorithms with the mechanism of intermittent communication and intermittent controller update are designed for the first time to compensate for the impact of physical faults on the system, and reduce communication costs and control resource consumption. For practical applications, it is difficult for the system to have a secure environment if there exist malicious attacks blocking network channels among agents. Therefore, the resilient ETFT optimal coordination with intermittent communication subject to asynchronous denial‐of‐service (DoS) attacks is considered. Especially, auxiliary systems with adaptive gains are introduced in the algorithms due to the unavailability of the EL model parameters, which also enable virtual data exchange between agents and protect actual state information. Note that the algorithms are fully distributed as the global topology information is not required. Finally, the feasibility of the proposed algorithms is verified through numerical simulation of examples.

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