Neural optimal tracking control of constrained nonaffine systems with a wastewater treatment application
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Publication:6055074
DOI10.1016/j.neunet.2021.05.027zbMath1526.93141OpenAlexW3167590859MaRDI QIDQ6055074
Mingming Ha, Jin Ren, Ding Wang, Mingming Zhao
Publication date: 28 September 2023
Published in: Neural Networks (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1016/j.neunet.2021.05.027
Artificial neural networks and deep learning (68T07) Control/observation systems with incomplete information (93C41) Application models in control theory (93C95) Discrete-time control/observation systems (93C55)
Related Items (5)
A data-based neural policy learning strategy towards robust tracking control design for uncertain dynamic systems ⋮ Two‐loop reinforcement learning algorithm for finite‐horizon optimal control of continuous‐time affine nonlinear systems ⋮ Recurrent neural networks as kinematics estimator and controller for redundant manipulators subject to physical constraints ⋮ Discounted near‐optimal regulation of constrained nonlinear systems via generalized value iteration ⋮ Multi‐event‐triggered adaptive critic control with guaranteed cost for discrete‐time nonlinear nonzero‐sum games
Cites Work
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- Heuristic Dynamic Programming Using Echo State Network For Multivariable Tracking Control Of Wastewater Treatment Process
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- Direct adaptive control for a class of discrete‐time unknown nonaffine nonlinear systems using neural networks
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