The TMS320C25 is a fixed-point microprocessor so that in our experiments filters, Mereace equations, sine wave generations and random sequences are impleme.nted uning Q formats [2]. In our experiments, the plant ia given by KpJ(a+ Pp), the desired model is K,,,/(a + P,,,), the output of the plant is l~p, that of the model ia yn, the input to the plant ir zp and that of the model ia 2,. The erro...

This work represents the development of robust control methods in the tasks of adaptation of SISO linear time-invariant plant with unknown parameters and disturbance. This problem is solved by ( 1 ) 1 2 ( − + ρ n )-order regulator. Copyright © 2007 IFAC

This paper presents direct model reference adaptive control for a class of nonlinear systems with unknown nonlinearities. The model following conditions are assured by using adaptive neural networks as the nonlinear state feedback controller. Both full state information and observer-based schemes are investigated. All the signals in the closed loop are guaranteed to be bounded and the system st...

The paper presents a certainty equivalence output feedback backstepping adaptive control design method for the systems of any relative degree with unmatched uncertainties without over-parametrization. It uses a fast prediction model to estimate the unknown parameters, which is independent of the control design. It is shown that the system’s input and output tracking errors can be systematically...

Hybrid grid-connected renewable energy systems have gained significant importance in sustainably responding to an increased electrical demand. These are time-varying nonlinear dynamical plants, where the value of their parameters depends on changing weather conditions and alternating grid voltage with randomly fluctuating amplitude. This paper proposes a robust cascade MRAC for plants represent...