Adaptive neural networks control using barrier Lyapunov functions for DC motor system with time-varying state constraints

DOI10.1155/2018/5082401zbMath1390.93448OpenAlexW2789092789MaRDI QIDQ1646483

Lei Ma, Da-Peng Li

Publication date: 25 June 2018

Published in: Complexity (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1155/2018/5082401

zbMATH Keywords

Lyapunov analysisfull state constraintsadaptive neural network (NN) controlasymmetric time-varying Barrier Lyapunov Function (BLF)direct-current (DC) system

Mathematics Subject Classification ID

Lyapunov and storage functions (93D30) Adaptive control/observation systems (93C40) Lyapunov and other classical stabilities (Lagrange, Poisson, (L^p, l^p), etc.) in control theory (93D05)

Related Items (1)

Adaptive multiple model control for nonlinear constrained systems with a novel barrier Lyapunov function

Cites Work

• Cooperative control of a nonuniform gantry crane with constrained tension
• Barrier Lyapunov functions for Nussbaum gain adaptive control of full state constrained nonlinear systems
• Control of nonlinear systems with time-varying output constraints
• Barrier Lyapunov functions for the control of output-constrained nonlinear systems
• A new control method for state-constrained nonlinear switched systems with application to chemical process
• Adaptive fault tolerant control for a class of input and state constrained MIMO nonlinear systems
• Adaptive NN output-feedback decentralized stabilization for a class of large-scale stochastic nonlinear strict-feedback systems

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