Adaptive neural networks control for MIMO nonlinear systems with unmeasured states and unmodeled dynamics

DOI10.1016/J.AMC.2021.126369OpenAlexW3171100244MaRDI QIDQ2243346

Xueliang Wang, Linqi Wang, Wenjing Yang, Sanxia Wang, Jian-Wei Xia

Publication date: 11 November 2021

Published in: Applied Mathematics and Computation (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.amc.2021.126369

zbMATH Keywords

unmodeled dynamicsadaptive neural networks controlmulti input and multi output uncertain nonlinear systemsunmeasured states

Mathematics Subject Classification ID

Model systems in control theory (93Cxx) Stability of control systems (93Dxx) Controllability, observability, and system structure (93Bxx)

Related Items (5)

Adaptive neural consensus tracking control of distributed nonlinear multiagent systems with unmodeled dynamics ⋮ Command filter-based adaptive fuzzy switching event-triggered control for non-affine nonlinear systems with actuator faults ⋮ Event-triggered output feedback adaptive control for nonlinear switched interconnected systems with unknown control coefficients ⋮ Adaptive multi-dimensional Taylor network tracking control for nonlinear systems with input saturation and full state time-varying constraints ⋮ Fast finite-time adaptive neural fault-tolerant tracking control for multi-input multi-output systems with full-state constraints

Cites Work

• Fuzzy adaptive backstepping robust control for SISO nonlinear system with dynamic uncertainties
• Adaptive control of a class of strict-feedback time-varying nonlinear systems with unknown control coefficients
• Adaptive neural dynamic surface control of strict-feedback nonlinear systems with full state constraints and unmodeled dynamics
• Global exponential stability of neural networks with time-varying delay based on free-matrix-based integral inequality
• Adaptive tracking control for stochastic nonlinear systems with full-state constraints and unknown covariance noise
• Command filter‐based event‐triggered adaptive neural network control for uncertain nonlinear time‐delay systems

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