Neural Network Adaptive Control for Nonlinear Nonnegative Dynamical Systems  

Oleh:

Hayakawa, T. ; Hovakimyan, N. ; Chellaboina, V. ; Haddad, W. M.

Jenis: Article from Journal - ilmiah internasional
Dalam koleksi: IEEE Transactions on Neural Networks vol. 16 no. 2 (Mar. 2005), page 399-413.
Topik: DYNAMICAL SYSTEM; neural network; non linear; non negative; dynamical systems

Ketersediaan

Perpustakaan Pusat (Semanggi) Nomor Panggil: II36.12 Non-tandon: 1 (dapat dipinjam: 0) Tandon: tidak ada

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Isi artikel

Non negative and compartmental dynamical system models are derived from mass and energy balance considerations that involve dynamic states whose values are nonnegative. These models are widespread in engineering and life sciences and typically involve the exchange of nonnegative quantities between subsystems or compartments wherein each compartment is assumed to be kinetically homogeneous. In this paper, we develop a full - state feedback neural adaptive control framework for adaptive set - point regulation of nonlinear uncertain non negative and compartmental systems. The proposed framework is Lyapunov - based and guarantees ultimate boundedness of the error signals corresponding to the physical system states and the neural network weighting gains. In addition, the neural adaptive controller guarantees that the physical system states remain in the nonnegative orthant of the state - space for non negative initial conditions.

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