Secondary delay‐partition approach on robust performance analysis for uncertain time‐varying Lurie nonlinear control system

Shi, Kaibo; Tang, Yuanyan; Liu, Xinzhi; Zhong, Shouming

doi:10.1002/oca.2326

Cited by 74 publications

(22 citation statements)

References 52 publications

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“…To more thoroughly compare the properties of the AGOA and the original GOA, a scalability evaluation is conducted, which can help us measure the solution's stability and accuracy and the efficiency of the optimization technique when the dimensions differ.A well-designed model's stability analysis should yield high-quality results for lower dimensions and problems with many variables [15], [78], [79]. This higher-scale analysis can reveal how the proposed model's behavior and methods change [80]- [82].…”

Section: ) the Scalability Test For The Agoamentioning

confidence: 99%

Chaotic Arc Adaptive Grasshopper Optimization

et al. 2021

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The grasshopper optimization algorithm (GOA) has become one of the most widely used methods, regardless of its shortcomings in its performance and algorithm design. To further harmonize exploration and exploitation in the GOA, this paper proposed an enhanced variant of the primary method by incorporating chaos theory to address the problems of slow convergence, low solution accuracy, and stagnation. Structural code analysis and previous works reveal that the grasshopper algorithm's internal function is one of these shortcomings' primary sources. The proposed GOA-based method employed an adaptive arc function instead of the grasshopper algorithm's internal function to strengthen and balance the global exploration capabilities and local exploitation capacities without any expensive modifications. Additionally, the chaotic mapping strategy was adopted to update the individual positions of agents iteratively. The individuals near the current optimal solution were disturbed to regenerate the optimal solution and enhance the swarm's diversity. This idea improves the global inspection capacity and discourages falling into local optima. To verify the proposed technique's effectiveness, a comprehensive set of twenty-seven benchmark cases and three engineering design problems were used for validation. We compared the proposed GOA-based method with the WOA, SCA, GOA, DA, CSSA, CGSCA, CLPSO, GL25, and OBWOA. Additionally, we tested the designed GOA against LSHADE, SHADE, EBOwithCMAR, SaDE, MPEDE, and EPSDE. Simulation results demonstrated that the algorithm was substantially superior to the original technique. Its global optimization competence, search accuracy, and convergence performance were notably improved. The results expose the regulation of this internal factor, which significantly affects the quality of the results. Further information about this research and assistance with any request is available at http://aliasgharheidari.com. INDEX TERMSGrasshopper optimization algorithm, swarm intelligence, chaotic maps, engineering design problem.

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Section: ) the Scalability Test For The Agoamentioning

confidence: 99%

Chaotic Arc Adaptive Grasshopper Optimization

et al. 2021

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“…Nowadays, attention to robust approaches in nonlinear, uncertain, and disturbed systems in various applications has increased dramatically (Shi et al, 2017;Wang, Zhu, et al, 2020;Wu et al, 2019;Xiong et al, 2016;Yu et al, 2020;Zhu et al, 2020). In the case of multi-agent systems, typical shared overall behaviours under cooperative control contain consensus (Chen et al, 2016;Feng et al, 2016;Hu et al, 2016;Wen et al, 2014), synchronization (Arenas et al, 2008;Lü et al, 2004;Pecora & Carroll, 1998), flocking…”

Section: Introductionmentioning

confidence: 99%

Leader–follower consensus control for a nonlinear multi-agent robot system with input saturation and external disturbance

Naserian

Ramazani

Khaki‐Sedigh

et al. 2021

Systems Science & Control Engineering

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This paper addresses the leader-follower consensus control problem for a nonlinear multi-agent robot system with control input constraint and external disturbances. Robot system is one of the most important practical systems in the industry. Due to the presence of disturbances in most practical systems, this paper considers the issue of finite-time leader-follower consensus control of the nonlinear multi-agent robot system along with actuator saturation and bounded disturbance. The modified terminal sliding mode control method is suggested for the system which is able to guarantee the stability of the overall system and fast finite-time leader-follower consensus control. For two different scenarios, the simulation of multi-agent robot system has been performed. The results show the effectiveness of the proposed control method.

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“…Given the importance of robust control approaches in various applications (Chen et al, 2020;Shi et al, 2017;Wang et al, 2021;Xiong et al, 2016;Yu et al, 2020;Zhang et al, 2018;Zhu et al, 2020), this paper presents a novel finite-time adaptive sliding mode control scheme for surge instability in the compressor system, in which the adaptive approach is used to estimate the uncertainties associated with the compressor characteristic curve and throttle valve. Our proposed method takes into account the upper bound of uncertainty, as well as the upper bounds of pressure-and flow-related disturbances.…”

Section: Introductionmentioning

confidence: 99%

Finite-time adaptive sliding mode control for compressor surge with uncertain characteristic in the presence of disturbance

Ziabari

2021

Systems Science & Control Engineering

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In this paper, a novel control approach is designed for surge instability in the compressor system using the finite-time adaptive sliding mode scheme. The primary novelty of this study lies in the development of a finite-time adaptive control for the surge instability avoidance in a compressor system in the presence of disturbance and uncertainty in the characteristic curve of the compressor and also throttle valve. The Lyapunov method is utilized to verify the finite-time stability of the closed-loop system. The performance of the presented method is compared against other methods in the literature through simulations in Matlab. The results suggest that our designed controller outperforms the existing ones in terms of surge avoidance and robustness against uncertainties and disturbances.

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Secondary delay‐partition approach on robust performance analysis for uncertain time‐varying Lurie nonlinear control system

Cited by 74 publications

References 52 publications

Chaotic Arc Adaptive Grasshopper Optimization

Chaotic Arc Adaptive Grasshopper Optimization

Leader–follower consensus control for a nonlinear multi-agent robot system with input saturation and external disturbance

Finite-time adaptive sliding mode control for compressor surge with uncertain characteristic in the presence of disturbance

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