1. | ![]() |
1강 Introduction To Digital Control System | Introduction To Digital Control System | ![]() |
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1강 Introduction To Digital Control System | Introduction To Digital Control System | ![]() |
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2. | ![]() |
2강 Basic Concept of Digital control system | Basic Concepts of Digital control system and Linear time-Invariant systems. | ![]() |
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2강 Basic Concept of Digital control system | Basic Concepts of Digital control system and Linear time-Invariant systems. | ![]() |
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3. | ![]() |
3강 Numerical Approximation Techniques | Numerical Approximation Techniques. Sampling and Reconstruction of Signals. Z-Transform | ![]() |
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3강 Numerical Approximation Techniques | Numerical Approximation Techniques. Sampling and Reconstruction of Signals. Z-Transform | ![]() |
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4. | ![]() |
4강 Z-Transform | Z-Transform Properties of Z-Transform Inverse Z-Transform | ![]() |
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4강 Z-Transform | Z-Transform Properties of Z-Transform Inverse Z-Transform | ![]() |
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5. | ![]() |
5강 Mapping Between s and Z planes | Mapping between S and Z planes. First Backward difference Method Bilinear (Tustin) Transformation. | ![]() |
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5강 Mapping Between s and Z planes | Mapping between S and Z planes. First Backward difference Method Bilinear (Tustin) Transformation. | ![]() |
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6강 Analysis Techniques | Transfer Functions of Sampled-Data Systems. Zero-Order Hold Function. Stability Test. | ![]() |
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6강 Analysis Techniques | Transfer Functions of Sampled-Data Systems. Zero-Order Hold Function. Stability Test. | ![]() |
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7강 Analysis techniques and Feedback Control Design | Steady state error, Root-Locus Techniques, s-,z-, and w-planes time responses, Frequency response, Feedback Control design in s- and z-planes | ![]() |
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7강 Analysis techniques and Feedback Control Design | Steady state error, Root-Locus Techniques, s-,z-, and w-planes time responses, Frequency response, Feedback Control design in s- and z-planes | ![]() |
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8. | ![]() |
8강 Design Techniques | Digital Feedback Design: s-plane Method, z-plane Method and w-plane Method. Lead-Lag Compensation | ![]() |
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8강 Design Techniques | Digital Feedback Design: s-plane Method, z-plane Method and w-plane Method. Lead-Lag Compensation | ![]() |
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9. | ![]() |
9강 Introduction to state space design methods | Definition and objectives, Typical specifications, Design approaches, advantages, motivations, Scalar and matrix differential equation. | ![]() |
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9강 Introduction to state space design methods | Definition and objectives, Typical specifications, Design approaches, advantages, motivations, Scalar and matrix differential equation. | ![]() |
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10. | ![]() |
10강 State Space Design Methods | Application of State Space Design Methods, State Space Modelling, Transfer Function from State Space Model, Solution of the State Vector, Discrete-Time Poles and Zeros and The State Transition Equation. | ![]() |
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10강 State Space Design Methods | Application of State Space Design Methods, State Space Modelling, Transfer Function from State Space Model, Solution of the State Vector, Discrete-Time Poles and Zeros and The State Transition Equation. | ![]() |
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11. | ![]() |
11강 State Space Design Methods2 | Similarity Transformation' Controllable canonical Form(CCF), Observable Canonical Form(OCF), Controller Design, Controllability, Testing for System's Controllability. | ![]() |
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11강 State Space Design Methods2 | Similarity Transformation' Controllable canonical Form(CCF), Observable Canonical Form(OCF), Controller Design, Controllability, Testing for System's Controllability. | ![]() |
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12. | ![]() |
12강 State Space Design method 2(Observability) | Definition of observability and its relevance in designing controller, Observability Matrix, Relationship between controllability, observability and transfer functions, Pole placement by state feedback, Ackermann's formula, Deadbeat control. | ![]() |
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12강 State Space Design method 2(Observability) | Definition of observability and its relevance in designing controller, Observability Matrix, Relationship between controllability, observability and transfer functions, Pole placement by state feedback, Ackermann's formula, Deadbeat control. | ![]() |
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13강 State Space Design 3 (Observer design) | Observer design; Motivations and problem formulations, Prediction Observers and Current Observers, Reduced Order observers: Motivation and concept formulation, Current Observer: Accuracy and applications. | ![]() |
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13강 State Space Design 3 (Observer design) | Observer design; Motivations and problem formulations, Prediction Observers and Current Observers, Reduced Order observers: Motivation and concept formulation, Current Observer: Accuracy and applications. | ![]() |
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14. | ![]() |
14강 State Space Design(4) Combined Control Law and Observer | Current Observer Separation Principle Combined Control Law and Observer Guidelines for choosing Controller and Observer Characteristic Equations Integral control. Introduction to Optimal control. | ![]() |
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14강 State Space Design(4) Combined Control Law and Observer | Current Observer Separation Principle Combined Control Law and Observer Guidelines for choosing Controller and Observer Characteristic Equations Integral control. Introduction to Optimal control. | ![]() |
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15. | ![]() |
15강 Optimal Control | Design Approaches Dynamic programming Examples on performance indices Bellman's principle of optimality Principle of optimality to discrete time linear systems Discrete-time linear quadratic regulator via dynamic programming Solution to Discrete Riccati Difference Equation. | ![]() |
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15강 Optimal Control | Design Approaches Dynamic programming Examples on performance indices Bellman's principle of optimality Principle of optimality to discrete time linear systems Discrete-time linear quadratic regulator via dynamic programming Solution to Discrete Riccati Difference Equation. | ![]() |