International Symposium on Intelligent Control 

About: International Symposium on Intelligent Control is an academic conference. The conference publishes majorly in the area(s): Control theory & Adaptive control. Over the lifetime, 2394 publications have been published by the conference receiving 23105 citations.

A Survey of Applications of Wireless Sensors and Wireless Sensor Networks

Abstract: Wireless sensors and wireless sensor networks have come to the forefront of the scientific community recently. This is the consequence of engineering increasingly smaller sized devices, which enable many applications. The use of these sensors and the possibility of organizing them into networks have revealed many research issues and have highlighted new ways to cope with certain problems. In this paper, different applications areas where the use of such sensor networks has been proposed are surveyed

Adaptive inverse control

Abstract: Methods for adaptive control of plant dynamics and for control of plant disturbance for unknown linear plants are described. In addition, extension of control of plant dynamics to nonlinear plants using neural networks is presented. For their proper application, the plant must be stable. An unstable plant could first be stabilized with feedback, then adaptively controlled. >

Imputing a convex objective function

Abstract: We consider an optimizing process (or parametric optimization problem), i.e., an optimization problem that depends on some parameters. We present a method for imputing or estimating the objective function, based on observations of optimal or nearly optimal choices of the variable for several values of the parameter, and prior knowledge (or assumptions) about the objective. Applications include estimation of consumer utility functions from purchasing choices, estimation of value functions in control problems, given observations of an optimal (or just good) controller, and estimation of cost functions in a flow network.

Neural net robot controller with guaranteed tracking performance

Abstract: A neural net (NN) controller for a general serial-link robot arm is developed. The NN has two layers so that linearity in the parameters holds, but the "net functional reconstruction error" is taken as nonzero. The structure of the NN controller is derived using a filtered error/passivity approach. It is shown that standard backpropagation, when used for real time closed-loop control, can yield unbounded NN weights if (1) the net cannot exactly reconstruct a certain required control function, or (2) there are bounded unknown disturbances in the robot dynamics. An online weight tuning algorithm including a correction term to backpropagation guarantees tracking as well as bounded weights. The notions of a passive NN and a robust NN are introduced. >

The concept of cellular robotic system

Abstract: The author discusses the conceptual basis for the theory and engineering of a new type of robotic system. The system is composed of autonomous robotic units which accomplish tasks in cooperation. After describing the relevance of this system and contrasting it with cellular automata and neural networks, the author establishes the fundamental properties of the system and their consequences for the structure of the robotic units, the space on which they operate, and the algorithms by which they accomplish the global tasks. The significance of the concept of cellular robotic systems for distributed computing, molecular computing, self-organization, and reliability is explained. >