Abstract: The plenary talk has in view to disseminate the author’s original ideas concerning a particular class of nonlinear control systems, so called PENDULAR Control Systems. These systems have an intuitive side as analyzed in the introductive section.
PENDULAR is a mnemonic coming from Pendulum Efficiency with Nonlinear Dynamics and Unconventional Law in Achievement of Robustness. Also, in Romanian the verb “a pendula” defines the pendulum movement.
PENDULAR control systems are referred by the mnemonic PCS. PCS are variable structure systems (VSS) with a simple structure. The main idea is to optimize conventional structures using a nonlinear element on the feedback loop. In fact, this nonlinear element produces changes in structure. So the 2nd section deals with it.
The intuitive aspect of the two system substructures is treated in the 3rd section. In this section are presented some simulations in order to “feel” the PENDULAR concept. Since some of the simulations clearly show that the PCS is unstable, next section deals with the study of stability of PCS. The stability section ends with PCS stability theorem, with recommendation for the PCS controller type and structure.
Next section foresees the PENDULAR control impact over the control strategies. In this section Essential Pendular Control strategy is defined. Examples , simulations are available. Finally, some laboratory experiments over some real plants underline the PCS efficiency.

Brief biography of the speaker:
Prof. Catalin Nicolae Calistru obtained his Ph.D in Automatic Control from "Gheorghe Asachi" Technical University of Iasi, Romania. He currently teaches Computer Networks, Computational Logics but his interests covers a large variety of topics as Control Theory, Robust Control, Intelligent Control, Nonlinear Control.
Prof. Calistru was invited professor in Prague and Florence, author of more than 85 scientific papers, 3 books, Member of IASTED Technical Control Committee, Member of WSEAS NN and GAs group, Editor of the International Journal of Mathematics and Computers in Simulation.