Adaptive learning nonsynchronous control of nonlinear hidden Markov jump systems with limited mode information
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Publication:6193408
DOI10.3934/era.2023340OpenAlexW4387788260MaRDI QIDQ6193408
Publication date: 13 February 2024
Published in: Electronic Research Archive (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.3934/era.2023340
Convex programming (90C25) Nonlinear systems in control theory (93C10) Stochastic learning and adaptive control (93E35)
Cites Work
- Unnamed Item
- Stabilization for Markovian jump systems with partial information on transition probability based on free-connection weighting matrices
- Neural network robust \(H_\infty\) tracking control strategy for robot manipulators
- Switched projected gradient descent algorithms for secure state estimation under sparse sensor attacks
- Recovery of a rapidly oscillating source in the heat equation from solution asymptotics
- Asynchronous \(\mathcal{H}_\infty\) control of semi-Markov jump linear systems
- Adaptive fault compensation control for nonlinear uncertain fractional-order systems: static and dynamic event generator approaches
- Finite-time control of discrete-time semi-Markov jump linear systems: a self-triggered MPC approach
- Accelerating deep neural network training with inconsistent stochastic gradient descent
- Finite-region asynchronous \(H_\infty\) control for 2D Markov jump systems
- Adaptive neural dynamic surface control of MIMO stochastic nonlinear systems with unknown control directions
- Passivity-Based Control for Hidden Markov Jump Systems With Singular Perturbations and Partially Unknown Probabilities
- Nonlinear and Adaptive Intelligent Control Techniques for Quadrotor UAV – A Survey
- Passivity-Based Asynchronous Control for Markov Jump Systems
- Dissipativity-based finite-time asynchronous output feedback control for wind turbine system via a hidden Markov model
- Self-triggered finite-time control for discrete-time Markov jump systems
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