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Course Co-ordinated by IIT Roorkee
Coordinators
 
Prof. Barjeev Tyagi
IIT Roorkee

 

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The optimization techniques can be used in different ways depending on the approach (algebraic or geometric), the interest (single or multiple), the nature of the signals (deterministic or stochastic), and the stage (single or multiple). The main objective of optimal control is to determine control signals that will cause a process (plant) to satisfy some physical constraints and at the same time extremize (maximize or minimize) a chosen performance criterion (performance index or cost function)


Modules

Topics

1

Introduction, Calculus of Variations and Optimal Control

2

Calculus of Variations and Optimal Control

3

Linear Quadratic Optimal Control Systems

4

Discrete-Time Optimal Control Systems

5

Discrete-Time Optimal Control Systems, Pontryagin Minimum Principle

6

Pontryagin Minimum Principle, Time-Optimal Control of LTI System

7

Time-Optimal Control of LTI System

M.E/M.Teach,

1.D.E.Kirk,OptimalControlTheory:AnIntroduction,PrenticeHall,EnglewoodCliffs,NJ,1970,
2.F.L.Lewis,OptimalControl,JohnWiley&Sons,Inc.,NewYork,NY,1986,
3.M.Gopal,ModernControlSystemTheory,NewAgeInternational,
4.SageA.P.&WhiteC.C.,OptimumSystemsControl,PrenticeHall

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