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Amirabolfazl Souratgar
  Courses 

 Linear Control Systems(SPRING_2019)

Aims:

Introduction to Analysis and control of Linear systems

Syllabus:

  • Introduction to Control Systems
  • Mathematical Models of Systems
  • Signal-Flow Graph Models
  • Differential Equations of Physical Systems
  • Linear Approximations of Physical Systems
  • The Concept of Stability
  • The Routh-Hurwitz Stability Criterion
  • The Relative Stability of Feedback Control Systems
  • The Root Locus Concept
  • Sensitivity Analysis
  • Time Domain Analysis
  • Bode Diagram
  • Nyquist Criterion
  • Controller Design
  • State Space Analysis

Text Book:

  • 1. Richard C. Dorf, Modern Control Systems, Prentice-Hall, 2011.
  • 2. Benjamin C. Kuo, Automatic Control Sysems, , Academic Publisher,1991
  • 3. K. Ogata, Modern Control Engineering, Prentice-Hall, 1995.


 Optimal Control Systems(SPRING_2019)

Aims:

Introduction to optimal control

Syllabus:

  • Definitions
  • Performance Measure
  • optimal control law for dynamic programming
  • Fundamental of calculus of variation
  • Piece-wise -smooth extremals
  • constraint Extrema
  • Necessary Conditions for optimal control
  • Linear Quadratic regulator
  • اصل کمينه سازي پوينترياگين
  • time optimal problem
  • Minimum control effort problem
  • Singular intervals
  • optimal control for transfer function representation
  • numerical approaches for optimal control
  • Linear and nonlinear programming
  • WDH method

Text Book:




 Control Mechatronics Systems(FALL_2018)

Aims:

introduction to mathematical modeling and control of mechatronic systems

Syllabus:

  • Introduction to new mechatronic systems
  • Compensator design
  • Compensator design
  • کنترل ديجيتال و پپياده سازي
  • Optimal control and calculase of variation
  • LQR
  • An Introduction To Linear and Nonlinear programming
  • PID controller design and implementation
  • Introduction to distributed Optimization

Text Book:




 Linear Control Systems(FALL_2018)

Aims:

Introduction to Analysis and control of Linear systems

Syllabus:

  • Introduction to Control Systems
  • Mathematical Models of Systems
  • Signal-Flow Graph Models
  • Differential Equations of Physical Systems
  • Linear Approximations of Physical Systems
  • Time Domain Analysis
  • The Routh-Hurwitz Stability Criterion
  • The Relative Stability of Feedback Control Systems
  • The Root Locus Concept
  • Sensitivity Analysis
  • Time Domain Analysis
  • Bode Diagram
  • Nyquist Criterion
  • Controller Design
  • State Space Analysis

Text Book:

  • 1. Richard C. Dorf, Modern Control Systems, Prentice-Hall, 2012.
  • 2. Benjamin C. Kuo, Automatic Control Sysems, , Academic Publisher,1991
  • 3. K. Ogata, Modern Control Engineering, Prentice-Hall, 1995.


 Special Topics (Introduction to MEMS Dynamical Modeling & Control)(FALL_2018)

Aims:

introduction to mathematical modeling and control of mems and nems systems

Syllabus:

  • Scaling issue effects
  • MEMS ac reference voltage source s
  • MEMS based pressure meter modeling and applications
  • Design modeling and control of Micro fishbot
  • capsubot modeling design and control
  • MEMS Gyro Modeling and design

Text Book:




 Control Mechatronics Systems(SPRING_2018)

Aims:

introduction to mathematical modeling and control of mechatronic systems

Syllabus:

  • Introduction to new mechatronic systems
  • Compensator design
  • Compensator design
  • کنترل ديجيتال و پپياده سازي
  • Optimal control and calculase of variation
  • LQR
  • An Introduction To Linear and Nonlinear programming
  • PID controller design and implementation
  • Introduction to distributed Optimization

Text Book:




 Optimal Control Systems(SPRING_2018)

Aims:

AN INTRODUCTION TO OPTIMAL CONTROL SYSTEMS

Syllabus:

  • INTRODUCTION
  • PERFORMANCE MEASURE
  • DYNAMIC PROGRAMMING
  • BELLMAN PRINCIPLE
  • CHARACTERISTIC OF DYNAMIC PROGRAMMING SOLUTION
  • CALCULUS OF VARIATION
  • FUNCTIONAL INVOLVING SEVERAL INDEPENDENT FUNCTIONS
  • PIECEWISE SMOOTH EXTREMALS
  • CONSTRAINED EXTREMA
  • NECESSARY CONDITION FOR OPTIMA;L CONTROL
  • LINEAR REGULATORS
  • PONTRYAGIN MINIMUM PRINCIPLE
  • TIME OPTIMAL
  • MINIMUM EFFORT
  • NUMERICAL METHOD FOR OPTIMIZATION

Text Book:

  • OPTIMAL CONTOL THEORY : AN INTRODUCTION- kirk


 Electric Circuits (I)(FALL_2017)

Aims:

Electrical Circuits Analysis

Syllabus:

    Text Book:




     Linear Control Systems(FALL_2017)

    Aims:

    Introduction to Analysis and control of Linear systems

    Syllabus:

    • Introduction to Control Systems
    • Mathematical Models of Systems
    • Signal-Flow Graph Models
    • Differential Equations of Physical Systems
    • Linear Approximations of Physical Systems
    • Time Domain Analysis
    • The Routh-Hurwitz Stability Criterion
    • The Relative Stability of Feedback Control Systems
    • The Root Locus Concept
    • Sensitivity Analysis
    • Time Domain Analysis
    • Bode Diagram
    • Nyquist Criterion
    • Controller Design
    • State Space Analysis

    Text Book:

    • 1. Richard C. Dorf, Modern Control Systems, Prentice-Hall, 2012.
    • 2. Benjamin C. Kuo, Automatic Control Sysems, , Academic Publisher,1991
    • 3. K. Ogata, Modern Control Engineering, Prentice-Hall, 1995.


     Special Topics (Introduction to MEMS Dynamical Modeling & Control)(FALL_2017)

    Aims:

    introduction to mathematical modeling and control of mems and nems systems

    Syllabus:

    • Scaling issue effects
    • MEMS ac reference voltage source s
    • MEMS based pressure meter modeling and applications
    • Design modeling and control of Micro fishbot
    • capsubot modeling design and control
    • MEMS Gyro Modeling and design

    Text Book:




     
     
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