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This course will teach fundamentals of control design and analysis using state-space methods.
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English
English [CC]
FREE
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Description
This includes both the practical and theoretical aspects of the topic. By the end of the course, you should be able to design controllers using state-space methods and evaluate whether these controllers are robust to some types of modeling errors and nonlinearities. You will learn to:
- Design controllers using state-space methods and analyze using classical tools.
- Understand impact of implementation issues (nonlinearity, delay).
- Indicate the robustness of your control design.
- Linearize a nonlinear system, and analyze stability.
Course content
- Introduction Unlimited
- Basic root locus: analysis and examples Unlimited
- Frequency response methods Unlimited
- Control design using Bode plots Unlimited
- Introduction to state-space models Unlimited
- Slides: Signals and systems Unlimited
- Developing state-space models based on transfer functions Unlimited
- State-space models: basic properties Unlimited
- System zeros and transfer function matrices Unlimited
- State-space model features Unlimited
- Controllability Unlimited
- Full-state feedback control Unlimited
- Pole placement approach Unlimited
- LQ servo introduction Unlimited
- Open-loop and closed-loop estimators Unlimited
- Combined estimators and regulators Unlimited
- Adding reference inputs Unlimited
- LQ servo: improving transient performance Unlimited
- Deterministic linear quadratic regulator (LQR) Unlimited
- Linear quadratic Gaussian (LQG Unlimited
- Digital control basics Unlimited
- Systems with nonlinear functions Unlimited
- Analysis of nonlinear systems Unlimited
- Slides: Overview of nonlinear control synthesis Unlimited
- Anti-windup Unlimited
- Closed-loop system analysis Unlimited
Instructor
Massachusetts Institute of Technology
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