Novel information processing techniques are being actively explored to overcome
fundamental limitations associated with CMOS scaling. A new paradigm of adaptive …

A novel robust adaptive controller for multi-input multi-output (MIMO) feedback linearizable
nonlinear systems possessing unknown nonlinearities, capable of guaranteeing a …

In this brief, adaptive neural control is presented for a class of output feedback nonlinear
systems in the presence of unknown functions. The unknown functions are handled via on …

The dynamic surface control (DSC) technique was developed recently by Swaroop et al.
This technique simplified the backstep** design for the control of nonlinear systems in …

Recent years have seen a rapid development of neural network control tech niques and
their successful applications. Numerous simulation studies and actual industrial …

Adaptive control evolved over the years to become an accepted subject taught in many
schools as an advanced control course. A good understanding of adaptive control involves a …

Two robust adaptive control schemes for single-input single-output (SISO) strict feedback
nonlinear systems possessing unknown nonlinearities, capable of guaranteeing prescribed …

In this paper, adaptive neural control schemes are proposed for two classes of uncertain
multi-input/multi-output (MIMO) nonlinear systems in block-triangular forms. The MIMO …

In this paper, adaptive dynamic surface control (DSC) is developed for a class of pure-
feedback nonlinear systems with unknown dead zone and perturbed uncertainties using …

In this paper, two adaptive fuzzy output feedback control approaches are proposed for a
class of uncertain stochastic nonlinear strict-feedback systems without the measurements of …