This paper considers the problem of robust disturbance attenuation for a class of systems with both Lipschitz bounded and nonlinear uncertainties. The nonlinear uncertainty is assumed to satisfy a 'matching condition' and bounded by a known nonlinear function. The Lipschitz bounded one could be with
An approach to H∞ control of a class of nonlinear systems
✍ Scribed by G. Feng; S.G. Cao; N.W. Rees
- Publisher
- Elsevier Science
- Year
- 1996
- Tongue
- English
- Weight
- 620 KB
- Volume
- 32
- Category
- Article
- ISSN
- 0005-1098
No coin nor oath required. For personal study only.
✦ Synopsis
paper considers robust H, control of a class of nonlinear systems that can be represented by a heterogeneous model. A new controller design method using both-state feedback is proposed based on quadratic stability theory. A number of necessary and sufficient conditions are derived for quadratic stabilizability with disturbance attenuation of the control system concerned. An example is also given to demonstrate the performance of the proposed controller design methods.
📜 SIMILAR VOLUMES
This paper deals with the H, filtering problem for a class of discrete-time nonlinear systems with or without real time-varying parameter uncertainty and unknown initial state. For the case when there is no parametric uncertainty in the system, we are concerned with designing a nonlinear H, filter s
An effective way to extend to the multi-input case the variable structure control philosophy is the method based on a set of m#1 control vectors forming a simplex in RK, and on the corresponding switching of the controlled system from one to another of m#1 different structures. In this paper, the ba
An iterative learning control scheme is presented for a class of nonlinear dynamic systems which includes holonomic systems as its subset. The control scheme is composed of two types of control methodology: a linear feedback mechanism and a feedforward learning strategy. At each iteration, the linea
Geometric and time-scale properties of nonlinear control systems are related to each other.