Asymptotic analysis yields new insight about the behaviour and stability of controlled diffusion processes, and it is useful for the determination of optimal feedback loops.
Dynamic output feedback control of nonlinear singularly perturbed systems
โ Scribed by Shing-Tai Pan; Feng-Hsiag Hsiao; Ching-Cheng Teng
- Publisher
- Elsevier Science
- Year
- 1996
- Tongue
- English
- Weight
- 904 KB
- Volume
- 333
- Category
- Article
- ISSN
- 0016-0032
No coin nor oath required. For personal study only.
โฆ Synopsis
In this paper, the stabilization problem of two classes of nonlinear singularly perturbed systems via dynamic output feedback is investigated. First, we consider the nonlinear singularly perturbed systems in which the nonlinearities are continuously differentiable. The theoretical result demonstrates that, using the factorization approach, the dynamic output feedback controller designed for the reduced-order model of the linearized system is a stabilizing compensator for the original nonlinear singularly perturbed system, provided that e is sufficiently small. Second, the nonlinear singularly perturbed systems in which the nonlinearities are not necessarily continuously differentiable but satisfy the global Lipschtz condition are examined. Combining the dynamic output feedback controller that stabilizes the reduced-order model of the linear part of the nonlinear singularly perturbed system with the quasi-stability result of Persidskii, a two-step compensating scheme is proposed to stabilize the original nonlinear singularly perturbed system under considerationfor a sufficiently small e.
๐ SIMILAR VOLUMES
This paper addresses the feedforward/output feedback control problem for single-input singleoutput minimum-phase nonlinear processes. Combination of dynamic feedforward/static state feedback laws and state observers is employed to synthesize nonlinear dynamic feedforward/output feedback controllers
17l this paper, we investigate the stabilization problem ~f nonlinear control systems via dynamic output jeedback. The combined control law and estimator is used first to stabilize a class ~?/ nonlinear control systems. TIw factorization theory is then used to develop an improved scheme Jor stabiliz
Geometric and time-scale properties of nonlinear control systems are related to each other.
This work is concerned with nearly optimal controls of nonlinear dynamic systems under the influence of singularly perturbed Markov chains. The underlying Markov chains have fast and slow components and their states can be divided into a number of groups. Within each group of states, the chain varie