Neural network based finite-time stabilization for discrete-time Markov jump nonlinear systems with time delays

DOI10.1155/2013/359265zbMath1291.93313OpenAlexW2170591930WikidataQ58916034 ScholiaQ58916034MaRDI QIDQ2015402

Fei Liu, Fei Chen, Hamid Reza Karimi

Publication date: 23 June 2014

Published in: Abstract and Applied Analysis (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1155/2013/359265

Mathematics Subject Classification ID

Stabilization of systems by feedback (93D15) Applications of Markov chains and discrete-time Markov processes on general state spaces (social mobility, learning theory, industrial processes, etc.) (60J20) Stochastic stability in control theory (93E15)

Cites Work

• Finite-time stabilization by state feedback control for a class of time-varying nonlinear systems
• Robust \(\mathcal H_{\infty}\) fuzzy filter design for uncertain nonlinear singularly perturbed systems with Markovian jumps: an LMI approach
• Finite-time stability and stabilization of time-delay systems
• Robust finite-time \(H _{\infty}\) control for nonlinear jump systems via neural networks
• Delay-range-dependent control synthesis for time-delay systems with actuator saturation
• Stability and stabilization of Markovian jump linear systems with partly unknown transition probabilities
• Finite-time stability of linear time-varying systems with jumps
• Robust fault detection for networked systems with communication delay and data missing
• Approximation and estimation bounds for artificial neural networks
• Mode-dependent \(H_\infty\) filtering for discrete-time Markovian jump linear systems with partly unknown transition probabilities
• Improved fuzzy control design for nonlinear Markovian-jump systems with incomplete transition descriptions
• H_∞sliding mode observer design for a class of nonlinear discrete time-delay systems: A delay-fractioning approach
• A delay fractioning approach to robust sliding mode control for discrete-time stochastic systems with randomly occurring non-linearities
• Neural-network-based finite-timeH_∞control for extended Markov jump nonlinear systems
• Controllability, stabilizability, and continuous-time Markovian jump linear quadratic control
• Feedback control of a class of linear discrete systems with jump parameters and quadratic cost criteria †
• Analysis and Synthesis of Markov Jump Linear Systems With Time-Varying Delays and Partially Known Transition Probabilities
• Necessary and Sufficient Conditions for Analysis and Synthesis of Markov Jump Linear Systems With Incomplete Transition Descriptions
• Consensus control of multi-agent systems with missing data in actuators and Markovian communication failure
• Finite-time control of discrete-time linear systems
• On Designing of Sliding-Mode Control for Stochastic Jump Systems
• Simultaneous ℋ︁₂/ℋ︁_∞ control of uncertain jump systems with functional time‐delays
• Finite-time control of linear systems subject to parametric uncertainties and disturbances

This page was built for publication: Neural network based finite-time stabilization for discrete-time Markov jump nonlinear systems with time delays