Output Feedback Control of A Class of Discrete MIMO Nonlinear Systems With Triangular Form Inputs  

Oleh:

Zhang, Jin ; Ge, S. S. ; Tong, Heng Lee

Jenis: Article from Journal - ilmiah internasional
Dalam koleksi: IEEE Transactions on Neural Networks vol. 16 no. 6 (Nov. 2005), page 1491-1503.
Topik: feedback; output feedback; control; discrete MIMO; non linear systems; triangular form input

Ketersediaan

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

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Isi artikel

In this paper, adaptive neural network (NN) control is investigated for a class of discrete - time multi - input - multi - output (MIMO) non linear systems with triangular form inputs. Each subsystem of the MIMO system is in strict feedback form. First, through two phases of coordinate transformation, the MIMO system is transformed into input - output representation with the triangular form input structure unchanged. By using high - order neural networks (HONN s) as the emulators of the desired controls, effective output feedback adaptive control is developed using backstepping. The closed - loop system is proved to be semiglobally uniformly ultimate bounded (SGUUB) by using Lyapunov method. The output tracking errors are guaranteed to converge into a compact set whose size is adjustable, and all the other signals in the closed - loop system are proved to be bounded. Simulation results show the effectiveness of the proposed control scheme.

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