A method for suboptimal design of nonlinear feedback systems
โ Scribed by Y. nishikawa; N. Sannomiya; H. Itakura
- Publisher
- Elsevier Science
- Year
- 1971
- Tongue
- English
- Weight
- 818 KB
- Volume
- 7
- Category
- Article
- ISSN
- 0005-1098
No coin nor oath required. For personal study only.
โฆ Synopsis
The e-parameter method, with the introduction o fan extended Liapunov equation, pro vides an effective tool for a suboptimal design of nonlinear feedback systems. The method applies also to a coupled systems design.
Summary--An approximation method is presented to construct an optimal state regulator for a nonlinear system with quadratic performance index. The nonlinearity is taken to be a perturbation to the system, and a parameter e is introduced to stand for it. By making use of a power-series expansion in e, a sequence of partial differential equations is derived whose solutions form a suboptimal feedback law. Given a polynomial nonlinearity, the partial differential equations are reduced to ordinary differential equations by separation of variables. The zero-order terms yield a well known Riccati equation. Higher-order equations are transformed into conventional type linear equations, owing to a lemma regarding an extended Liapunov equation. It is demonstrated that the l-th order approximation for the feedback law results in the (2โข+ 1)th order approximation to the optimal performance.
The procedure developed has a wide variety of applications. As one of the straightforward applications, the synthesis of a suboptimal control is discussed for a largescale system as composed of several subsystems of lower dimensions.
Three examples attached illustrate several features of the method.
๐ SIMILAR VOLUMES
The design of robust stabilizing controllers for uncertain nonlinear systems has been investigated. Uncertainties including uncertain parameters and structured uncertainties, caused by the mismatch between the mathematical model and the true process, are considered. Two strategies are proposed; a no