Optimal Control Ice 7th Sem Syllabus for BE 2017 Regulation Anna Univ (Professional Elective IV) detail syllabus for Instrumentation & Control Engineering (Ice), 2017 regulation is collected from the Anna Univ official website and presented for students of Anna University. The details of the course are: course code (EI8076), Category (PE), Contact Periods/week (4), Teaching hours/week (2), Practical Hours/week (2). The total course credits are given in combined syllabus.
For all other ice 7th sem syllabus for be 2017 regulation anna univ you can visit Ice 7th Sem syllabus for BE 2017 regulation Anna Univ Subjects. For all other Professional Elective IV subjects do refer to Professional Elective IV. The detail syllabus for optimal control is as follows.
Course Objective:
- To understand the optimal control concepts and its importance
- To study the important optimal control methods existing in the industries in order obtain the required level of control
- To introduce the concept of optimal control in various system
- To help the learners in the design and the implementation of the concept of optimal control
- To study, analyze and implement discrete-Time optimal control system
Unit I
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Unit II
Mathematical Evaluation
Introduction and Performance Index – Basic Concept of calculus of variation- The basic variational problem – Fixed end point problem – Free end point problem – Variational Approach to Optimal Control Systems.
Unit III
Control Strategy
Introduction – Time varying optimal control – LQR steady state optimal control – Frequency Domain Interpretation of LQR (LTI system) – Solution of Ricattisequation – Application examples.
Unit IV
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Unit V
Advanced Systems
Discrete-Time Optimal Control Systems – Matrix Discrete Riccati Equation -Analytical Solution of Matrix Difference Riccati Equation – Optimal Control Using Dynamic Programming – The Hamilton-Jacobi-Bellman (HJB) Equation – LQR System HJB Equation-Time Optimal Control System.
Course Outcome:
- Problem formulation, forms of optimal control and its necessary conditions.
- Solving the algebraic equations to design the controller and to study about various problems
- Designing optimal controllers using a class of procedures
- Predict the system dynamic behavior through solution of ODEs and formation of optimal control problem
- Solve equations to design the controllers in discrete methods representing spatial and temporal variations in physical systems through numerical methods.
- Implementing the Optimal control methodology for the benchmark /real time systems.
Text Books:
- Kirk, D.E., Optimal Control Theory, Dover Publications, 2004.
- D.S.Naidu, Optimal Control Systems First Indian Reprint, CRC Press, 2009.
- Astrom, K.J. Intro. Stochastic Control Theory, Dover Publications, 2006.
References:
- Gopal M, Digital Control and State Variable Methods, Tata McGraw-Hill
- F.L.Lewis,OptimalControl,JohnWiley&Sons,Inc.,NewYork,NY,1986
- M.Gopal,ModernControlSystemTheory,NewAgeInternational
- SageA.P.&WhiteC.C.,Optimum Systems Control, PrenticeHall
- http://nptel.ac.in/courses/108105019/
For detail syllabus of all other subjects of BE Ice, 2017 regulation do visit Ice 7th Sem syllabus for 2017 Regulation.
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