Course Objectives

The aims of this course:

• To help students understand the modern control system and their role in society.
• To understand the mathematical model of systems.
• To understand the differences between controlling the transient response and the steady-state response of a system.
• To explain the concepts of stability of dynamic systems.
• To describe the Root Locus Concept.
• To understand the Frequency Response Methods.
• To understand the Fuzzy Logic.
• To learn about MATLAB programming.

Learning Objectives

The successful completion of this course, Student will be able to:

• Give illustrative examples of control systems and describe their relationship to key contemporary issues.
• Recognize that differential equation can describe the dynamic behavior of physical systems.
• Utilize linearization approximations through Taylor series.
• Explain the central role of error signals in analysis of control systems.
• Identify key test signals used in controls and describe the resulting transient response characteristics of second-order systems to test signal inputs.
• Describe the key concepts of absolute and relative stability.
• Describe the powerful concept of root locus and its role in the control system design.
• Sketch a bode plot and also how to obtain a computer-generated Bode plot.
• Identify time-domain performance specifications in the frequency domain.
• Understand the Fuzzy Sets and membership.
• Get knowledge about Classical Sets and Fuzzy sets.
• Understand about Classical Relations and Fuzzy Relations.
• Describe about Properties of Membership Functions Fuzzification and Defuzzification.

Reference Materials

Reference Book's Photo	Reference Book's Materials
	:" Modern Control System "(14th Edition) by Richard C. Dorf and Robert H. Bishop
	“Fuzzy Logic with Engineering Application "(4th Edition) by Timothy. J Ross

Assessment Plan