Multidimensional Taylor network optimal control of MIMO nonlinear systems without models for tracking by output feedback

DOI10.1155/2017/1548095zbMath1426.93148OpenAlexW2765212849MaRDI QIDQ1992354

Qi-Ming Sun, Hong-Sen Yan

Publication date: 5 November 2018

Published in: Mathematical Problems in Engineering (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1155/2017/1548095

Mathematics Subject Classification ID

Stochastic ordinary differential equations (aspects of stochastic analysis) (60H10) Adaptive control/observation systems (93C40) Discrete-time control/observation systems (93C55) Stochastic learning and adaptive control (93E35) Channel models (including quantum) in information and communication theory (94A40)

Related Items (1)

Controller design for nonlinear systems subject to both input saturation and asymmetry time-varying state constraints: a novel network-based approach

Cites Work

• Unnamed Item
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• Decentralized risk-sensitive design for large-scale stochastic interconnected systems with time-varying delays
• Finite-time stabilization of high-order stochastic nonlinear systems in strict-feedback form
• Exponential input-to-state stability of stochastic Cohen-Grossberg neural networks with mixed delays
• Adaptive output feedback control methodology applicable to non-minimum phase nonlinear systems
• Enlarging the terminal region of nonlinear model predictive control using the support vector machine method
• Adaptive regulation of a class of uncertain nonlinear systems with nonstrict feedback form
• Robust adaptive neural control of morphing aircraft with prescribed performance
• Stability analysis of Markov switched stochastic differential equations with both stable and unstable subsystems
• Discrete-time neural network output feedback control of nonlinear discrete-time systems in non-strict form
• Identification of MIMO Hammerstein models using least squares support vector machines
• Adaptive pole placement control of MIMO systems
• Reduced-Order Observer in the Sliding-Mode Control of Nonlinear Nonaffine Systems
• Networked Predictive Control of Uncertain Constrained Nonlinear Systems: Recursive Feasibility and Input-to-State Stability Analysis
• Razumikhin-type theorem for stochastic functional differential equations with Lévy noise and Markov switching

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