this paper presents a theoretical approach to implementation of the “multi-realization of nonlinear mimo systems”. this method aims to find state-variable realization for a set of systems, sharing as many parameters as possible. in this paper a special nonlinear multi-realization problem, namely the multi-realization of feedback linearizable nonlinear systems is considered and an algorithm for ...

Adaptive automatic control systems become very frequently of use in technical practice. They are especially applied in automatic control systems of the flying bodies despite of higher expenses like the variable aerodynamic configuration of an aircraft and the application of a computer in autopilot circuits. Model reference adaptive control systems constitute an important group of adaptive syste...

his paper is devoted to the design and analysis of a state-predictor based direct adaptive controller for MultiInput-Multi-Output (MIMO) dynamical systems, with matched uncertainties. Our main intent is to evaluate possibility of improving MRAC transient characteristics during a tracking task. Towards that end, we propose the use of a state-predictor in formulating adaptive laws. Specifically, ...

The asymptotic behavior of adaptive systems has been a well researched topic during the last couple of decades, and it is well known that asymptotic tracking can be achieved using the Lyapunov redesign method. However, the transient behavior of the input and output signals can be very oscillatory with significant excursions [1]. There has been a great deal of effort to modify the control archit...

Abstract: Most of iterative learning control (ILC) methods requires that the relative degree of the plant is less than 2 for a linear system or the plant is passive for a non-linear system. A new model reference parametric adaptive iterative learning control using the command generator tracker (CGT) theory is proposed in this paper. The method can be applied to control a plant with a higher rel...

This paper introduces the method of ‘reference model decomposition’ as a way to improve the robustness of model reference adaptive control systems (MRACs) with respect to unmodelled dynamics with a known structure. Such unmodelled dynamics occur when some of the nominal plant dynamics are purposely neglected in the controller design with the aim of keeping the controller order low. One of the e...