作者: A.P. Roberts , M.M. Newmann , N.E. Parkes
关键词: Polynomial matrix 、 Mathematical optimization 、 Multivariable calculus 、 Transient response 、 Stochastic process 、 Optimal control 、 Mathematics 、 Stochastic optimization 、 Control system 、 Function (mathematics)
摘要: The polynomial matrix method of optimization multivariable control is formulated when the quadratic cost function contains both stochastic steady-state response and deterministic transient response. It shown that to inputs may be included along with in as suggested by K. Park J.J. Bongiorno (1989). This was incorporated a simple modification stochastic-only procedure given M.M. Newmann A.P. Roberts (1990). Two scalar examples are considered order illustrate technique discrete-time continuous-time. separate components calculated show resulting tradeoff between costs. >