6 research outputs found
Analisa Kinerja Sistem Kontrol Diskrit Chaos Lup Terbuka Dan Tertutup Dengan Pengendali Impulsif
Tability the discrete chaotic systems is interesting to be discussed, given that chaos is closely related to random and irregular state. Stability of discrete chaotic system can be obtained using impulsive control law and applying Lyapunov stability theory. So it can show sufficient conditions for the design of impulsive controllers and globally exponentially set-stable can be reached. Based on the results of the impulsive control, it is seen that the behavior of chaos in a discrete chaos system which originally the trajectory are irregular, can be control and become stable, and there is a globally exponentially attracting set earned in the system. The numerical simulation on the discrete chaotic system is presented to illustrate the effectiveness of the obtained results from control impulsive
Exponential stability analysis and impulsive tracking control of uncertain time-delayed systems
In this paper, we study exponential stability and tracking control problems for uncertain time-delayed systems. First, sufficient conditions of exponential stability for a class of uncertain time-delayed systems are established by employing Lyapunov functional methods and algebraic matrix inequality techniques. Furthermore, tracking control problems are investigated in which an uncertain linear time-delayed system is used to track the reference system. Sufficient conditions for solvability of tracking control problems are obtained for the cases that the system state is measurable and non-measurable, respectively. When the state is measurable, we design an impulsive control law to achieve the tracking performance. When the state information is not directly available from measurement, an impulsive control law based on the measured output will be used. Finally, numerical examples are presented to illustrate the effectiveness and usefulness of our results
Time-Delayed Impulsive Control of Chaotic System Based on T-S Fuzzy Model
This paper is concerned with the time-delayed impulsive control and
synchronization of general chaotic system based on T-S fuzzy model. By utilizing
impulsive control theory, time-delayed feedback control technique, and T-S fuzzy
model, some useful and new conditions are derived to guarantee the stability and
synchronization of the addressed chaotic system. Finally, some numerical simulations
are given to illustrate the effectiveness of the derived results