Retracted: SCRIM drive system using adaptive backstepping control and mended recurrent Romanovski polynomials neural network with reformed particle swarm optimization
DOI10.1002/ACS.2990zbMath1418.93120OpenAlexW2936324364MaRDI QIDQ5224198
Publication date: 19 July 2019
Published in: International Journal of Adaptive Control and Signal Processing (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1002/acs.2990
Lyapunov stabilitybackstepping controlparticle swarm optimizationrecurrent Romanovski polynomials neural networksix-phase copper rotor induction motor
Sensitivity (robustness) (93B35) Learning and adaptive systems in artificial intelligence (68T05) Approximation methods and heuristics in mathematical programming (90C59) Adaptive control/observation systems (93C40) Lyapunov and other classical stabilities (Lagrange, Poisson, (L^p, l^p), etc.) in control theory (93D05)
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- A rank based particle swarm optimization algorithm with dynamic adaptation
- Comparative dynamic control for continuously variable transmission with nonlinear uncertainty using blend amend recurrent Gegenbauer-functional-expansions neural network
- Connections between Romanovski and other polynomials
- Properties of a combined adaptive/second-order sliding mode control algorithm for some classes of uncertain nonlinear systems
- Adaptive control of discrete-time nonlinear systems by recurrent neural networks in quasi-sliding mode like regime
- Systematic design of adaptive controllers for feedback linearizable systems
- Adaptive homo‐backstepping tracking control for strict‐feedback systems in presence of unknown dead‐zones
- Adaptive neural control for nonstrict‐feedback stochastic nonlinear time‐delay systems with input and output constraints
- A combined backstepping and dynamic surface control to adaptive fuzzy state‐feedback control
- Robust RBF neural network–based backstepping controller for implantable cardiac pacemakers
- Pinning control and adaptive control for synchronization of linearly coupled reaction‐diffusion neural networks with mixed delays
- Neuro-Fuzzy Control of Industrial Systems with Actuator Nonlinearities
- A recurrent neural fuzzy controller based on self‐organizing improved particle swarm optimization for a magnetic levitation system
- Adaptive recurrent Chebyshev neural network control for PM synchronous motor servo‐drive electric scooter with V‐belt continuously variable transmission
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