A New Method for The Control of Discrete Nonlinear  

Oleh:

Adetona, O. ; Garcia, E. ; Keel, L. H.

Jenis: Article from Journal - ilmiah internasional
Dalam koleksi: IEEE Transactions on Neural Networks vol. 11 no. 1 (2000), page 102-112.
Topik: DISCRETE - TIME SYSTEMS; discrete; non linear; systems; neural networks

Ketersediaan

Perpustakaan Pusat (Semanggi) Nomor Panggil: II36 Non-tandon: 1 (dapat dipinjam: 0) Tandon: tidak ada

Lihat Detail Induk

Isi artikel

A new controller design method for nonaffine nonlinear dynamic systems is presented in this paper. An identified neural network model of the nonlinear plant is used in the proposed method. The method is based on a new control law that is developed for any discrete deterministic time - invariant nonlinear dynamic system in a subregion ?x, of an asymptotically stable equilibrium point of the plant. The performance of the control law is not necessarily dependent on the distance between the current state of the plant and the equilibrium state if the nonlinear dynamic system satisfies some mild requirements in ?x. The control law is simple to implement and is based on a novel linearization of the input - output model of the plant at each instant in time. It can be used to control both minimum phase and nonminimum phase nonaffine non linear plants. Extensive empirical studies have confirmed that the control law can be used to control a relatively general class of highly non linear multi input - multi output (MIMO) plants.

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