TAILIEUCHUNG - Lecture Signals, systems & inference – Lecture 11: State feedback, observer-based feedback

Lecture Signals, systems & inference – Lecture 11: State feedback, observer-based feedback. The following will be discussed in this chapter: System (“plant”), a good model, observer configuration, observer-based controller. | Lecture Signals, systems & inference – Lecture 11: State feedback, observer-based feedback State feedback, observer-based feedback , Spring 2018 Lec 11 1 System (“plant”) w[n] x[n] q[n] y[n] + A, b, cT, d 1[n] 2 A good model w[n] x[n] b[n q [n] yb[n] y[n] + A, b, cT, d 1[n] 3 Observer configuration w[n] x[n] q[n] y[n] + A, b, cT Plant Z[n] y[n] q[n] q[n] y[n] - + T A, b, c Observer B 4 State feedback x[n] p[n] + A, b, cT q[n] gT 5 Observer-based controller w[n] p[n] x[n] q[n] y[n] + + A, b, cT Plant ζ[n] y[n] q[n] q[n] y[n] - + gT T A, b, c Observer B 6 Actual Control of inverted Pendulum p(t) = 0, v(t) = 0, Z(t) = 0 x(t) generated by Estimate observer-based feedback /1 = -7, /2 = -18 Pendulum angle (q1) 0 Observer-based controller: 0 2 4 6 8 10 Time (sec) /1 = 14, /2 = 5 Controller 1 input (x) 0 0 2 4 6 8 10 Time (sec) p(t) = 0, v(t) = 0, Z(t) = 0 x(t) generated by direct state feedback Pendulum angle (q1) 1 State feedback control: 0 0 2 4 6 8 10 Time (sec) Controller 1 input (x) 0 7 0 2 4 6 8 10 Time (sec) MIT OpenCourseWare Signals, Systems and Inference Spring 2018 For information about citing these materials or our Terms of Use, visit: . 8

• Kĩ thuật Viễn thông
• Signals systems
• Lecture Signals systems
• Time invariant system models
• System models in continuous
• Linear system models
• State–space models
• State feedback
• Observer based feedback
• Lecture ELEC2400 signals and systems
• ELEC2400 signals and systems
• Signal types and operations
• Operations on Signals
• Types of Signals
• Signals and systems using MATLAB
• Systems using MATLAB
• From the ground up
• Continuous time signals
• Continuous time systems
• The laplace transform
• Frequency analysis
• Frequency domain analysis
• Fourier transform
• Frequency response of LTI systems
• Energy spectral density
• State Space Models
• Matrix exponential
• Transfer function
• Observers for state estimation
• Probabilistic models
• Random variables
• Correlation coefficient
• LTI filtering
• WSS processes
• Power Spectral Density
• Wiener filtering
• Wiener filtering illustrations
• Hypothesis testing