ICE

Optimal Control Systems ICE 8th Sem Syllabus for AKTU B.Tech 2019-20 Scheme (Departmental Elective-VI)

Optimal Control Systems detail syllabus for Instrumentation & Control Engineering (ICE), 2019-20 scheme is taken from AKTU official website and presented for AKTU students. The course code (RIC086), and for exam duration, Teaching Hr/Week, Practical Hr/Week, Total Marks, internal marks, theory marks, and credits do visit complete sem subjects post given below.

For all other ice 8th sem syllabus for b.tech 2019-20 scheme aktu you can visit ICE 8th Sem syllabus for B.Tech 2019-20 Scheme AKTU Subjects. For all other Departmental Elective-VI subjects do refer to Departmental Elective-VI. The detail syllabus for optimal control systems is as follows.

Unit I

For the complete syllabus, results, class timetable and more kindly download iStudy. It’s a lightweight, easy to use, no images, no pdfs platform to make student’s life easier.

Unit II

Optimal Feedback Control: Discrete-Time linear State regulator, ContinuousTime Linear state Regulator results of solve other linear problems, Suboptimal Linear regulators, Minimum-time Control of Linear Time-Invariant System. 8

Unit III

Stochastic Optimal Linear Estimation and Control Stochastic processes and linear systems, Optimal Estimation for Linear Discrete time Systems Stochastic Optimal Linear Regulator, 8

Unit IV

For the complete syllabus, results, class timetable and more kindly download iStudy. It’s a lightweight, easy to use, no images, no pdfs platform to make student’s life easier.

Unit V

Effect of finite World Length and Quantization on Controllability and Closed Loop -Pole Placement, Effects of Quantization, and Time Delays in Microprocessor Based control systems.

Course Objectives:

  1. Understand General Mathematical Procedures
  2. Analyse Optimal Feedback Control.
  3. Be aware of Stochastic Optimal Linear Estimation and Control Stochastic processes
  4. Learn Microprocessor and DSP control Basic computer Architecture.
  5. Analyse Effect of finite World Length and Quantization on Controllability.

Course Outcomes:

After completion of the course student will be able to:

  • Understand the Formulation of the optimal control Problem, Calculus of variations, Minimum principle.
  • Design Discrete-Time linear State regulator, Continuous-Time Linear state Regulator results of solve other linear problems.
  • Realize linear systems, Optimal Estimation for Linear Discrete time Systems Stochastic Optimal Linear Regulator,
  • Be aware of Microprocessor Control of Control System, Single Board Controllers with Custom Designed Chips, Digital Signal Processors.
  • Understand Pole Placement, Effects of Quantization, and Time Delays in Microprocessor Based control systems.

Reference Books:

  1. Brain D.O. Anderson, John B. Moore, Optimal control Linear Quadratic Methods, Prentice Hall of India Private Limited
  2. M. Gopal, Modern Control Engineering, New Age International Publishers.
  3. B.C. Kuo, Automatic Control Systems, 10th Ed. McGraw Hill.

For detail syllabus of all other subjects of B.Tech Ice, 2019-20 regulation do visit Ice 8th Sem syllabus for 2019-20 Regulation.

Don’t forget to download iStudy for the latest syllabus, results, class timetable and more.

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