State constraints‐based adaptive neural network control for switched nonlinear systems with unmodeled dynamics
Sign Up to like & getrecommendations! Published in 2020 at "International Journal of Robust and Nonlinear Control"
DOI: 10.1002/rnc.5113
Abstract: This paper investigates the problem of state constraints‐based adaptive neural network tracking control for switched nonlinear systems with unmodeled dynamics. First, a switching‐dependent dynamic signal is designed to dominate unmodeled dynamics. Also, by introducing a… read more here.
Keywords: unmodeled dynamics; state; neural network; adaptive neural ... See more keywords
Adaptive actuator failure compensation for a class of nonlinear systems with full state constraints
Sign Up to like & getrecommendations! Published in 2020 at "International Journal of Robust and Nonlinear Control"
DOI: 10.1002/rnc.5337
Abstract: In this article, an adaptive compensation scheme is proposed for controlling a class of Brunovsky form systems with unknown parameters and possible actuator failures such that the full state constraints can be achieved. Compared with… read more here.
Keywords: class; full state; compensation; actuator ... See more keywords
Observer-Based Adaptive Fuzzy Decentralized Control of Uncertain Large-Scale Nonlinear Systems with Full State Constraints
Sign Up to like & getrecommendations! Published in 2019 at "International Journal of Fuzzy Systems"
DOI: 10.1007/s40815-018-0595-z
Abstract: In this paper, the problem of observer-based adaptive fuzzy decentralized control is studied for uncertain large-scale nonlinear systems with full state constraints, input saturation and unmeasurable state. Compared with the existing literature, the state directly… read more here.
Keywords: control; full state; based adaptive; observer based ... See more keywords
Adaptive actuator failure compensation control for hypersonic vehicle with full state constraints
Sign Up to like & getrecommendations! Published in 2019 at "Aerospace Science and Technology"
DOI: 10.1016/j.ast.2018.12.032
Abstract: Abstract This paper addresses the longitudinal control problem of air-breathing hypersonic vehicles subject to actuator faults, full state constraints and backlash-like hysteresis. To accomplish the full state constraints, the modified nonlinear mappings are proposed to… read more here.
Keywords: control; full state; constraints adaptive; state ... See more keywords
Constraint-adaptive MPC for large-scale systems: Satisfying state constraints without imposing them
Sign Up to like & getrecommendations! Published in 2021 at "IFAC-PapersOnLine"
DOI: 10.1016/j.ifacol.2021.08.550
Abstract: Abstract Model Predictive Control (MPC) is a successful control methodology, which is applied to increasingly complex systems. However, real-time feasibility of MPC can be challenging for complex systems, certainly when an (extremely) large number of… read more here.
Keywords: state; state constraints; adaptive mpc; constraint adaptive ... See more keywords
Adaptive neural network output feedback control for stochastic nonlinear systems with full state constraints.
Sign Up to like & getrecommendations! Published in 2020 at "ISA transactions"
DOI: 10.1016/j.isatra.2020.01.021
Abstract: This paper presents an adaptive neural network output feedback control method for stochastic nonlinear systems with full state constraints. The barrier Lyapunov functions are used to conquer the effect of state constraints to system performance.… read more here.
Keywords: state; control; output; neural network ... See more keywords
Vibration control for a rigid-flexible manipulator with full state constraints via Barrier Lyapunov Function
Sign Up to like & getrecommendations! Published in 2017 at "Journal of Sound and Vibration"
DOI: 10.1016/j.jsv.2017.05.050
Abstract: Abstract Considering full state constraints, this paper designs a boundary controller for a two-link rigid-flexible manipulator via Barrier Lyapunov Function. The dynamic model of the two-link rigid-flexible manipulator is described by coupled ordinary differential equations-… read more here.
Keywords: state; vibration; flexible manipulator; full state ... See more keywords
Barrier Lyapunov function-based adaptive fuzzy control for induction motors with iron losses and full state constraints
Sign Up to like & getrecommendations! Published in 2018 at "Neurocomputing"
DOI: 10.1016/j.neucom.2018.02.020
Abstract: Abstract This paper is concerned with the problem of adaptive fuzzy control for induction motors (IMs) with iron losses and full state constraints based on the barrier Lyapunov function method. The state variables are constrained… read more here.
Keywords: state; barrier lyapunov; full state; lyapunov function ... See more keywords
Event-triggered adaptive neural control of fractional-order nonlinear systems with full-state constraints
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DOI: 10.1016/j.neucom.2020.06.082
Abstract: Abstract In this article, we present an event-triggered scheme for fractional order nonlinear systems under full-state constraints. The neural networks are employed to approximate the continuous nonlinear unknown functions in the system. Moreover, a new… read more here.
Keywords: state; fractional order; control; state constraints ... See more keywords
Practical fixed-time adaptive consensus control for a class of multi-agent systems with full state constraints and input delay
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DOI: 10.1016/j.neucom.2021.03.032
Abstract: Abstract This paper concentrates on a fixed-time consensus issue for nonstrict nonlinear uncertain multi-agent systems (MASs) with state constraints and input delay. In comparison with previous works, the topic of full state constraints and input… read more here.
Keywords: time; consensus; fixed time; constraints input ... See more keywords
Deep adaptive dynamic programming for nonaffine nonlinear optimal control problem with state constraints
Sign Up to like & getrecommendations! Published in 2022 at "Neurocomputing"
DOI: 10.1016/j.neucom.2021.04.134
Abstract: This paper presents a constrained deep adaptive dynamic programming (CDADP) algorithm to solve general nonlinear optimal control problems with known dynamics. Unlike previous ADP algorithms, it can directly deal with problems with state constraints. Both… read more here.
Keywords: problem; programming; state; policy ... See more keywords