Nonlinear control design: geometric, adaptive and robust
Nonlinear control design: geometric, adaptive and robust
Decentralized adaptive control using integrator backstepping
Automatica (Journal of IFAC)
SIAM Journal on Control and Optimization
Nonlinear Control Systems II
Nonlinear and Adaptive Control Design
Nonlinear and Adaptive Control Design
SIAM Journal on Control and Optimization
Decentralized adaptive stabilization in the presence of unknown backlash-like hysteresis
Automatica (Journal of IFAC)
Design of Robust Adaptive Controllers for Nonlinear Systems with Dynamic Uncertainties
Automatica (Journal of IFAC)
Brief A combined backstepping and small-gain approach to adaptive output feedback control
Automatica (Journal of IFAC)
Global output-feedback stabilization for a class of stochastic non-minimum-phase nonlinear systems
Automatica (Journal of IFAC)
Automatica (Journal of IFAC)
Automatica (Journal of IFAC)
WLS-based partially decentralized adaptive control for coupled ARMAX multi-agent dynamical system
ACC'09 Proceedings of the 2009 conference on American Control Conference
Decentralized adaptive tracking of stochastic nonlinear interconnected systems by state feedback
CCDC'09 Proceedings of the 21st annual international conference on Chinese control and decision conference
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics - Special issue on game theory
Decentralized fuzzy H∞filtering for nonlinear interconnected systems with multiple time delays
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics - Special issue on gait analysis
Automatica (Journal of IFAC)
Sequential stability analysis and observer design for distributed TS fuzzy systems
Fuzzy Sets and Systems
Automatica (Journal of IFAC)
Brief paper: Finite-time stability and instability of stochastic nonlinear systems
Automatica (Journal of IFAC)
Output-Feedback Stabilization of Stochastic High-Order Nonlinear Systems under Weaker Conditions
SIAM Journal on Control and Optimization
Backstepping Control in Vector Form for Stochastic Hamiltonian Systems
SIAM Journal on Control and Optimization
Further results on adaptive state-feedback stabilization for stochastic high-order nonlinear systems
Automatica (Journal of IFAC)
Adaptive decentralised control of parallel DC-DC converter systems
International Journal of Systems, Control and Communications
Automatica (Journal of IFAC)
Automatica (Journal of IFAC)
State feedback stabilization for stochastic feedforward nonlinear systems with time-varying delay
Automatica (Journal of IFAC)
Output feedback control of large-scale nonlinear time-delay systems in lower triangular form
Automatica (Journal of IFAC)
Information Sciences: an International Journal
Information Sciences: an International Journal
Hi-index | 22.18 |
In this paper, the problem of decentralized adaptive output-feedback stabilization is investigated for large-scale stochastic nonlinear systems with three types of uncertainties, including parametric uncertainties, nonlinear uncertain interactions and stochastic inverse dynamics. Under the assumption that the inverse dynamics of the subsystems are stochastic input-to-state stable, an adaptive output-feedback controller is constructively designed by the backstepping method. It is shown that under some general conditions, the closed-loop system trajectories are bounded in probability and the outputs can be regulated into a small neighborhood of the origin in probability. In addition, the equilibrium of interest is globally stable in probability and the outputs can be regulated to the origin almost surely when the drift and diffusion vector fields vanish at the origin. The contributions of the work are characterized by the following novel features: (1) even for centralized single-input single-output systems, this paper presents a first result in stochastic, nonlinear, adaptive, output-feedback asymptotic stabilization; (2) the methodology previously developed for deterministic large-scale systems is generalized to stochastic ones. At the same time, novel small-gain conditions for small signals are identified in the setting of stochastic systems design; (3) both drift and diffusion vector fields are allowed to be dependent not only on the measurable outputs but some unmeasurable states; (4) parameter update laws are used to counteract the parametric uncertainty existing in both drift and diffusion vector fields, which may appear nonlinearly; (5) the concept of stochastic input-to-state stability and the method of changing supply functions are adapted, for the first time, to deal with stochastic and nonlinear inverse dynamics in the context of decentralized control.