A comparative study of self-adaptive long-range predictive control methods
作者： R.M.C. De Keyser , Ph.G.A. Van de Velde , F.A.G. Dumortier
DOI: 10.1016/0005-1098(88)90024-6
关键词: Process output 、 Self adaptive 、 Robust control 、 Control engineering 、 Control theory 、 Model predictive control 、 Control system 、 Adaptive control 、 Robustness (computer science) 、 Digital control 、 Engineering
摘要: Abstract During the last years a number of interesting control methods were published all having same common idea: action is based on long-range prediction process output. Four these are compared in this paper. At least for three them industrial applications known, indicating that predictive likely to be useful tool real-life applications. These adaptive by means simulation study. Special attention paid their robustness w.r.t. unmodelled dynamics, parameter variations, noise and changing dead-time. Also dealt with tuning parameters remain, as well efficiency interpretation user.
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