Syllabus - Intelligent Control Systems for Robots (AB 503 (C))

Automation and Robotics

Intelligent Control Systems for Robots (AB 503 (C))

V-Semester

Unit 1

Introduction of Intelligent Systems and Control

Overview of Intelligent systems; structure, characteristics, chaining inferences, conflict resolution, control systems, dynamic effects of control systems.

Unit 2

Fuzzy Expert Systems

Fuzzy sets and their operations, linguistic variable, fuzzy rules, fuzzy inference, defuzzification, applications, Introduction of Fuzzy logic control

Unit 3

Genetic algorithms

Introduction, Simulation of natural evolution, genetic algorithms, genetic operators, fitness function, applications

Unit 4

Simulation and control of dynamics systems

Modeling using Simulink, PID controllers, implementation, fuzzy control, stability and performance evaluations

Unit 5

Artificial Neural Networks

Introduction to Artificial neural networks, Types, Layers, Learning Processes, Semantic Net, Network inversion and Control, Neural model of a Robot Manipulator, adaptive Neural control.

Course Objective

To provide in-depth knowledge of the principal areas, problems, and concepts of Intelligent Systems Control. To familiarize students about the fundamentals concepts of Linear Neural networks, Neural Model of Robot manipulators, the Indirect Adaptive Control of a Robot manipulator, Controller Designs and the Fuzzy Control.

Practicals

Reference Books

  • Negnevitsky M, Artificial Intelligence – A guide to intelligent systems Addison-Wesley, 2005

  • Craig J.J , Introduction to Robotics, Addison Wesley Publishers, 2005

  • Hayking, S Neural Networks, Prentice Hall, 2nd edition

  • Artificial Intelligence: Structures and Strategies for Complex Problem-Solving, 5th edition, Addison-Wesley, 2005

  • Mittal and Nagrath, Robotics and Control, McGraw Hill