Two tutorial examples of multivariable control system design

Two tutorial examples are presented which illustrate different methods of designing practical multivariable control systems using frequency-domain techniques. In the first case eigen vector alignment techniques are used to manipulate and shape the generalised Nyquist diagrams, while in the second case LQG theory in conjunction with singular value plots is employed. In both cases the designs are carried out on a modern computer-aided control-system design package.

[1]  R. Harley,et al.  The Basis of the General Theory , 1975 .

[2]  Jan M. Maciejowski Asymptotic recovery for discrete-time systems , 1985 .

[3]  B. Kouvaritakis,et al.  A design technique for linear multivariable feedback systems , 1977 .

[4]  A. Laub,et al.  Feedback properties of multivariable systems: The role and use of the return difference matrix , 1981 .

[5]  A. Laub,et al.  Calculation of transmission zeros using QZ techniques , 1977, 1977 IEEE Conference on Decision and Control including the 16th Symposium on Adaptive Processes and A Special Symposium on Fuzzy Set Theory and Applications.

[6]  J. Maciejowski,et al.  CLADP: The Cambridge linear analysis and design programs , 1982, IEEE Control Systems Magazine.

[7]  M. Athans The Role and Use of the Stochastic Linear-Quadratic-Gaussian Problem in Control System , 1971 .

[8]  J. Maciejowski,et al.  Asymptotic Recovery for Discrete-Time Systems , 1983, 1983 American Control Conference.

[9]  G. Stein,et al.  Multivariable feedback design: Concepts for a classical/modern synthesis , 1981 .

[10]  J. Edmunds,et al.  Principal gains and principal phases in the analysis of linear multivariable feedback systems , 1981 .

[11]  Ronald G. Harley,et al.  The General Theory of Alternating Current Machines , 1975 .

[12]  J. M. Edmunds,et al.  Control system design and analysis using closed-loop Nyquist and Bode arrays , 1979 .

[13]  D. Limebeer,et al.  Structure and Smith-MacMillan form of a rational matrix at infinity , 1982 .