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 ...

The paper presents a new complex adaptive non-linear system with one input and one output (SISO) which is based on dynamic inversion. The system consists of a dynamic compensator, an adaptive controller and a reference model. Linear dynamic compensator makes the stabilization command of the linearised system using as input the difference between closed loop system’s output and the reference mod...

The new method of the synthesis of multidimensional adaptive control system with reference model self-adjustment for the centralized control of the spatial motion of autonomous underwater vehicles is developed in this paper. The conditions of the self-adjustment process stability with the presence of essential dynamic reciprocal effect between all control channels are obtained and strictly prov...

A model reference adaptive control method is proposed for uncertain nonlinear characteristics of spacecraft attitude control system. This method combines fuzzy control methodology and nonlinear feedback linearization methodology, which made the closed-loop system stable and the state of fuzzy system track the state of reference model according to the parallel distributed compensation theory and...

Now a days DC drives are being used in versatile variable speed applications in industries. A separately excited DC motor is taken as a plant. The dynamic behaviour of a DC motor varies with the moment of inertia, friction of the load, temperature etc. which are evident from the applications such as rolling mills, wiring machines and tracking telescope. Non-linearities cannot be neglected when ...

This paper presents a novel indirect adaptive Power System Stabilizer (PSS) via a developed synergetic control methodology and fuzzy systems. Fuzzy system is utilized in an adaptive scheme to estimate the system using a nonlinear model. The synergetic control guarantees robustness of the controller and makes the controller easy to implement because of using a chatter free continuous control law...

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, ...