Optimal control of switching diffusions with application to flexible manufacturing systems
SIAM Journal on Control and Optimization
Ergodic Control of Switching Diffusions
SIAM Journal on Control and Optimization
Continuous-time Markov chains and applications: a singular perturbation approach
Continuous-time Markov chains and applications: a singular perturbation approach
Stochastic Linear Quadratic Regulators with Indefinite Control Weight Costs
SIAM Journal on Control and Optimization
Stock Trading: An Optimal Selling Rule
SIAM Journal on Control and Optimization
Recursive Algorithms for Stock Liquidation: A Stochastic Optimization Approach
SIAM Journal on Optimization
Indefinite Stochastic Linear Quadratic Control with Markovian Jumps in Infinite Time Horizon
Journal of Global Optimization
Brief Constrained quadratic state feedback control of discrete-time Markovian jump linear systems
Automatica (Journal of IFAC)
Journal of Computational and Applied Mathematics
Technical communique: Infinite horizon H2/H∞ control for stochastic systems with Markovian jumps
Automatica (Journal of IFAC)
Brief paper: On hybrid control of a class of stochastic non-linear Markovian switching systems
Automatica (Journal of IFAC)
Population dynamical behavior of Lotka-Volterra system under regime switching
Journal of Computational and Applied Mathematics
Randomly switching systems: models, analysis, and applications
CCDC'09 Proceedings of the 21st annual international conference on Chinese Control and Decision Conference
Stability of Regime-Switching Jump Diffusions
SIAM Journal on Control and Optimization
Neural, Parallel & Scientific Computations
Stochastic stabilization of hybrid differential equations
Automatica (Journal of IFAC)
Stability of regime-switching stochastic differential equations
Problems of Information Transmission
Suppression of functional system with Markovian switching
ICONIP'12 Proceedings of the 19th international conference on Neural Information Processing - Volume Part II
Original Articles: Noise suppress exponential growth for hybrid Hopfield neural networks
Mathematics and Computers in Simulation
Mathematics and Computers in Simulation
Hi-index | 22.16 |
This paper aims to determine whether or not a stochastic feedback control can stabilize or destabilize a given nonlinear hybrid system. New methods are developed and sufficient conditions on the stability and instability for hybrid stochastic differential equations are provided. These results are then used to examine stochastic stabilization and destabilization.