A Cacsd-Based Alternative For Autonomously Developing Control Systems

The paper proposes a CACSD-based alternative for autonomously developing controllers for complex controlled systems. The proposed alternative deals with a neurallike controller with a special architecture. The parameters and the structure of the controller are estimated by a specific developing algorithm, during an off-line training stage. The developing algorithm is implemented like a multi-agent system, so that the agents cooperate one another. We also discuss in this paper how the proposed alternative can be extended to goal-oriented movement problems, such as robotics

Power Control for Ad-Hoc Wireless Networks Using Sliding-Mode Control Theory

Abstract-In this paper we present a theoretical approach to power control for ad-hoc wireless networks using sliding mode control theory. We derive a dynamic system based on the signalto-interference ratio (SIR) of links in the network whose control input is related to the transmitted power, and show how sliding mode control theory is used to derive the power equations that lead to an equilibrium point where the link SIR are optimized