%0 Journal Article
%T Architectures of Computational Verb Controllers: Towards a New Paradigm of Intelligent Control
%A Tao Yang
%J International Journal of Computational Cognition
%D 2005
%I 
%X There are at least two kinds of methods of designing(computational) verb proportional-integral-derivative(PID) controllers.The first one is to generalize fuzzy PID controllersby substituting Ħ°BEĦħ in fuzzy control rules with non-staticcomputational verbs. The second one is to directly constructevolving functions of verbs in human experiences of dynamicprocesses. These methods will lead to different architectures ofverb PID controllers because computational verb theory can beused in different situations where adjectives or noun phraseshave different computational interpretations. Three examples ofthese computational interpretations of nouns are crisp, fuzzy andprobabilistic. Correspondingly, a PID controller can be designedbased on crisp or fuzzy representations of human experiences. Ifthe dynamic aspects of these human experiences are emphasizedexplicitly, the resulting design principle must take advantage ofthe computational verb theory. This is the principle behind thearchitectures of the verb PID controllers. The basics of fuzzylogic and fuzzy PID controllers can help the reader to understandthis paper. However, the fuzzy logic is only one of at least threemethods of interpreting computational nouns used together withcomputational verbs. Therefore, fuzzy logic is not an essentialcomponent for designing computational verb controllers thoughit is a very helpful component.In this paper, a detailed method of designing verb PIDcontrollers by generalizing fuzzy PID controllers are presented.The static and local fuzzy rules are transformed into dynamic andglobal verb rules by representing fuzzy rule sets on phase plots.The control trajectories are chunked into a set of computationalverbs based on the dynamic experiences generated by therelations among a group of fuzzy control rules. Using thesecomputational verbs, three sets of control rules, respectively forP-, I- and D-components, based on computational verbs(verbrules for short) are generated from the dynamic experiencesmodelled by using mental experiments. To implement these verbrules, verb implication relations are constructed based on verbsimilarity functions which are generated based on a set ofstandard verbs for modelling dynamic experiences. The last stepto implement verb PID controllers is to calculate the control verbbased on the observe verb and verb rule inference called verbgeneralized modus ponens(GMP). The results of a verb GMP isa verb similarity which is the union of a set of verb similarityfunctions modified by verb rule firing adverbs. At the symboliclevel, the resulting verb similarity o
%K Intelligent control
%K computational verb
%K PID controller
%K verb controller
%K fuzzy theory
%K verb similarity
%K verb inference
%K verb reasoning
%K fuzzy controller
%K PID controller
%U http://www.yangsky.us/ijcc/pdf/ijcc32a.pdf