Adaptive Inverse Control of Linear and Nonlinear Systems Using Dynamic Neural Networks  

Oleh:

Plett, G. L.

Jenis: Article from Journal - ilmiah internasional
Dalam koleksi: IEEE Transactions on Neural Networks vol. 14 no. 2 (2003), page 360-376.
Topik: NEURAL NETWORKS; inverse control; linear; non linear systems; dynamic neural networks

Ketersediaan

Perpustakaan Pusat (Semanggi) Nomor Panggil: II36.7 Non-tandon: 1 (dapat dipinjam: 0) Tandon: tidak ada

Lihat Detail Induk

Isi artikel

In this paper, we see adaptive control as a three - part adaptive - filtering problem. First, the dynamical system we wish to control is modeled using adaptive system - identification techniques. Second, the dynamic response of the system is controlled using an adaptive feedforward controller. No direct feedback is used, except that the system output is monitored and used by an adaptive algorithm to adjust the parameters of the controller. Third, disturbance canceling is performed using an additional adaptive filter. The canceler does not affect system dynamics, but feeds back plant disturbance in a way that minimizes output disturbance power. The techniques work to control minimum -phase or non minimum - phase, linear or nonlinear, single - input - single - output (SISO) or multiple - input - multiple - ouput (MIMO), stable or stabilized systems. Constraints may additionally be placed on control effort for a practical implementation. Simulation examples are presented to demonstrate that the proposed methods work very well.

Opini Anda

Klik untuk menuliskan opini Anda tentang koleksi ini!

Kembali