A brief introduction to the main ideas in Autonomous Control Systems is rst given and certain important issues in modeling, analysis and design are discussed. Control systems with high degree of autonomy should perform well under signi cant uncertainties in the system and environment for extended periods of time, and they must be able to compensate for certain system failures without external i...

This paper presents several digital signal processor (DSP) based intelligent controllers for aircraft automatic landing systems (ALSs). Proportional-Integral-Derivative (PID) control law is adopted in the intelligent controller design. A fuzzy cerebellar model articulation controller (CMAC) is utilized to compensate for the PID control signal. Control gains are selected by evolutionary computat...

Intelligent vehicle platoon driving is a process of flexible control based on the coordination between vehicle and highway in intelligent vehicle-highway system. It can improve the velocities and reduce the spacing between vehicles in the platoon, thus, to improve road capacity and road safety. It is the most important for developing intelligent vehicle-highway system to construct intelligent v...

This paper describes new results with a Reactive Shared-Control system that enables a semi-autonomous navigation of a wheelchair in unknown and dynamic environments. The purpose of the reactive shared controller is to assist wheelchair users providing an easier and safer navigation. It is designed as a fuzzy-logic controller and follows a behaviour-based architecture. The implemented behaviours...

After introducing the central air-conditioning terminal units system, established a fuzzy control system based on Lonworks. System focuses on the design of fuzzy controller with intelligent nodes, Input signal of fuzzy controller were the concentration and concentration rate of CO2, output signal was the volume of fresh air change, designed a two-dimension fuzzy controller. Based on the search ...

For intelligent robots to accomplish tasks in an unstructured environment, the adaptive critic algorithm has been shown to provide useful approximations or even optimal control policies to non-linear systems. The purpose of this paper is to explore the use of new learning control methods defined as Creative Learning or Creative Control that goes beyond the adaptive critic method for unstructure...

In recent year's renewable energy sources have become a useful alternative for the power generation. The power of photovoltaic is nonlinear function of its voltage and current. It is necessary to maintain the operation point of photovoltaic in order to get the maximum power point (MPP) in various solar intensity. Fuzzy logic controller has advantage in handling non-linear system. Maximum power ...

We are developing the Multi-Agent Self-Adaptive Cooperative Intelligent Real-Time Control Architecture (MASA-CIRCA) to address high-stakes, missioncritical, hazardous domains. (Musliner, Durfee, & Shin 1995; Musliner et al. 1999). MASA-CIRCA is a domain-independent architecture for intelligent, selfadaptive autonomous control systems that can be applied to hard real-time, mission-critical appli...

An intelligent control of photovoltaics is necessary to ensure fast response and high efficiency under different weather conditions. This is often arduous to accomplish using traditional linear controllers, as photovoltaic systems are nonlinear and contain several uncertainties. Based on the analysis of the existing literature of Maximum Power Point Tracking (MPPT) techniques, a high performanc...

In this paper, an intelligent controller capable of static balancing as well as dynamic balancing of a pole mounted on a motorized robot is designed and developed. The brain of the intelligent controller lies in the Fuzzy Inference System (FIS), which receives as its inputs displacement, velocity and acceleration information. An embedded instrumentation system onboard the robot measures the dis...