Tractable robust model predictive control with adaptive sliding mode for uncertain nonlinear systems

Fesharaki, Shekoofeh Jafari; Sheikholeslam, Farid; Kamali, Marzieh; Talebi, Ali

doi:10.1080/00207721.2020.1793230

Cited by 18 publications

(3 citation statements)

References 31 publications

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“…The self-triggered ISMPC method is investigated for networked nonlinear continuous-time systems subject to state and input constraints with additive disturbances and uncertainties in [90]. A tractable robust MPC scheme with adaptive SMC is designed for a class of nonlinear systems in normal form with two types of uncertainties in [91]. Although the systems are distinct in [89]- [92], ISMC can be used to reduce the influence of disturbances and uncertainties and enhance the system robustness.…”

Section: Mpc Used In the Sliding Phasementioning

confidence: 99%

Sliding mode predictive control: A survey

Xiao

Zhao

Gao

et al. 2022

Annual Reviews in Control

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Section: Mpc Used In the Sliding Phasementioning

confidence: 99%

Sliding mode predictive control: A survey

Xiao

Zhao

Gao

et al. 2022

Annual Reviews in Control

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“…Then, the uncertain system trajectories are kept near the trajectories of the nominal system [11]. However, the complexity and the computational burden of tube-based MPC is acceptable but, the asymptotic stability of the closed-loop system is not achieved [12], and its design for nonlinear systems faces difficulties [13].…”

Section: Introductionmentioning

confidence: 99%

Robustness Improvement of Computationally Efficient Cooperative Fuzzy Model Predictive-Integral Sliding Mode Control of Nonlinear Systems

et al. 2021

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This paper introduces a systematic and comprehensive method to design a constrained fuzzy model predictive control (MPC) cooperated with integral sliding mode control (ISMC) based on the Takagi-Sugeno (T-S) fuzzy model for uncertain continuous-time nonlinear systems subject to external disturbances. The proposed controller benefits from the robustness, optimality, and practical constraints considerations. The robustness against the uncertainties and matched external disturbances is achieved by the proposed ISMC without iterative calculation for obtaining the robust invariant set. The MPC schemes are designed separately based on the both quadratic and non-quadratic Lyapunov functions. By the proposed MPC, the states of the system reach the desired values in the optimal, constrained, and robust manner against the unmatched external disturbances. New linear matrix inequalities (LMIs) conditions are proposed to design both the proposed MPC schemes. Also, the practical constraints on the control signals are guaranteed in the design procedure based on the invariant ellipsoid set. To evaluate the effectiveness of the suggested strategy, some simulation and experimental tests were run. INDEX TERMST-S fuzzy models (TSFMs), Model predictive control (MPC), Integral sliding mode control (ISMC), DC-DC buck converter, Flexible joint robot.

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“…• Avaliar em simulação a capacidade do método em ser tanto efetivo na sintonia quanto intuitivo em sua utilização. (Fesharaki et al, 2020;Vijayagopal;Zanchetta, 2017). O modelo matemático é utilizado para prever o comportamento do sistema, enquanto a função custo é utilizada no otimizador para obter as respostas ótimas.…”

Section: Objetivosunclassified

Metodologia de sintonia para controladores preditivos utilizando funções de sensibilidade

Nabarrette¹

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por toda a orientação e aprendizado oferecidos durante os últimos anos, essenciais para a realização dessa etapa vultosa da minha vida. Todo o apoio e atenção que você demonstrou nesses anos foram extremamente importantes para minha pessoa e espero que eu possa seguir o seu exemplo nos próximos anos da minha vida profissional. Te desejo muita saúde e felicidade junto com o seu filho, Gabriel. Agradeço os constituintes da banca examinadora, por todo o ensinamento providenciado durante a análise e avaliação desse trabalho, que serão carregados por muitos anos além da finalização dessa tese.Aos membros e professores da Faculdade de Engenharia Química da UNICAMP, em especial aos professores doutores Luís

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Tractable robust model predictive control with adaptive sliding mode for uncertain nonlinear systems

Cited by 18 publications

References 31 publications

Sliding mode predictive control: A survey

Sliding mode predictive control: A survey

Robustness Improvement of Computationally Efficient Cooperative Fuzzy Model Predictive-Integral Sliding Mode Control of Nonlinear Systems

Metodologia de sintonia para controladores preditivos utilizando funções de sensibilidade

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