Robust Fixed Point Transformations-based Control of Chaotic Systems
نویسنده
چکیده
Nowadays, nonlinear control is a very important task because machines are playing an ever increasing role in life. Lyapunov’s 2nd method is a popular tool by the use of which various controllers can be designed like adaptive neural networks, fuzzy controllers, and neuro-fuzzy solutions, or the sliding mode controllers and the well-known PID feedback controllers. Robust Fixed Point Transformation is a procedure which can be built for almost any type of controller in case an approximate model is used to estimate the controlled system’s behavior. In this paper, a new approach to Robust Fixed Point Transformations (RFPT) is introduced by integrating a second controller in the system. Authors show that this additional, “recalculated” controller not just improves the original controller’s results, but halves the tracking errors achieved by the previous RFPT methods.
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ورودعنوان ژورنال:
- Computing and Informatics
دوره 32 شماره
صفحات -
تاریخ انتشار 2013