Mono- and Multivariable Control and Estimation: Linear, by Eric Ostertag

By Eric Ostertag

This ebook offers a few of the layout tools of a state-feedback keep an eye on legislation and of an observer. The thought of structures are of continuous-time and of discrete-time nature, monovariable or multivariable, the final ones being of major attention. 3 varied techniques are defined: • Linear layout equipment, with an emphasis on decoupling recommendations, and a normal formulation for multivariable controller or observer layout; • Quadratic optimization tools: Linear Quadratic keep watch over (LQC), optimum Kalman filtering, Linear Quadratic Gaussian (LQG) keep watch over; • Linear matrix inequalities (LMIs) to unravel linear and quadratic difficulties. The duality among keep an eye on and commentary is taken to virtue and prolonged as much as the mathematical area. a good number of routines, all given with their certain recommendations, normally got with MATLAB, make stronger and exemplify the sensible orientation of this publication. The courses, created by way of the writer for his or her fixing, can be found on the net websites of Springer and of MathWorks for downloading. This e-book is concentrated at scholars of Engineering faculties or Universities, on the Master’s point, at engineers meaning to layout and enforce leading edge keep watch over equipment, and at researchers.

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Similarities with the complete modal design. Though the present approach is entirely different, a strong similarity is noticeable with the expressions of the complete modal control design. 58): the parameter matrix P plays here the same role as the matrix P  p1 " p n of the parameter vectors introduced by Roppenecker. Here also, the matrix P is invariant in a similitude transformation. 79) brings about that u  Lx  LVz  P z . Finally, if the plant eigenvalues and those prescribed for the closed-loop system are all distinct from one another, and if the diagonal canonical form is chosen for A can , the Roppenecker’s formula appears as a particular case of the present ap- 50 1 State Space Control Design proach.

8, which will bee seen in Sect. 4. 2): u  L x M y r . The closed-loop system is then represented by ¦£¦x  ( A  BL)x B M y r E v . 6 Complete Modal Control 45 The transfer matrix between the disturbance input v and the output y, thus at vanishing reference input y r , is given by 1 G v ( s )  C< sI  ( A  BL ) > E . 72) Let us go over to modal representation, with the change of variable x  Tx * , T being the modal matrix. If the eigenvalues prescribed for the closed-loop system are assumed all distinct, its transfer matrix will have in this basis the diagonal form A  BL  diag (ML1 , !

6 Complete Modal Control 45 The transfer matrix between the disturbance input v and the output y, thus at vanishing reference input y r , is given by 1 G v ( s )  C< sI  ( A  BL ) > E . 72) Let us go over to modal representation, with the change of variable x  Tx * , T being the modal matrix. If the eigenvalues prescribed for the closed-loop system are assumed all distinct, its transfer matrix will have in this basis the diagonal form A  BL  diag (ML1 , ! 72) becomes, by returning to the initial representation, 1  s  ML1 " 0 ¬­ žž ­ G v ( s )  CT žž # % # ­­­ T1E , žž ­­ žŸ 0 " s  MLn ­® which, by introducing the eigenvectors v Li and the left eigenvectors w Li , the transposes of which are the rows of T1 (see Appendix A, Sect.

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