Control Engineering
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State space control methods: video 11 Matlab Simulink
Matlab simulink: mask, configurable system
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State space control methods: video 10 State observer design part 2
State-observer design
Disturbance observer: 00:00
Inverted pendulum and Coulomb friction: 01:46
Disturbance models: 06:21
General disturbance model: 07:11
Constant disturbance model: 09:30
Optimal state estimation: 10:56
Model assumptions: 10:56
Covariance: 12:54
Kalman filter: 16:07
Discrete-time design: 23:29
Discrete-time model: 24:38
State-estimation: 25:43
Observer-based control: 27:21
Reduced order observer: 27:43
Disturbance observer (constant disturbance model): 29:38
Matlab:
Pole placement and Luenberger estimator design: 31:35
LQR and Kalman filter: 38:12
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State space control methods: video 9 State observer design part 1
State-observer design
Introduction: 00:00
Naïve observer: 04:31
Full order Luenberger observer: 07:50
Observability and state estimation: 14:09
Duality between state estimation and feedback: 15:27
Observer based control: 18:18
Separation principle: 24:14
Input-output dynamics: 26:27
Shaping the estimator dynamics: 32:07
Reduced order observer
Idea: 36:59
Measurement and state equation: 40:45
Reduced order observer: 45:29
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State space control methods: video 8 State feedback design part 3
State-feedback design
Optimal control design: introduction: 00:00
Interlude: Linear algebra: 02:55
Linear Quadratic Regulation (LQR): 04:28
Linear Quadratic Regulation: Bryson's rule: 11:39
Integral action: 13:05
Discrete-time design: 21:10
Second order system performance: 22:38
Discrete-time model: 25:05
Closed-loop state equation: 25:32
Feedforward gain: 29:15
State feedback: summary: 33:15
Integral action: 35:31
Discrete Linear Quadratic Regulation (DLQR): 44:04
Matlab: 45:15
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State space control methods: video 7 state feedback design part 2
State-feedback design
Closed-loop pole location: 00:00
Methods: 05:27
Dominant second order poles: 09:23
pragmatic approach: 18:36
additional poles and zeros: 20:05
additional zero: 21:23
additional pole: 32:17
SO system in s-domain: summary on performance: 35:25
Dominant second order poles: 37:07
Dominant second order poles in practice: 38:01
Butterworth pole configuration: 42:15
