By Kazumi Nakamatsu, Roumen Kountchev
This quantity introduces new ways in clever keep watch over sector from either the viewpoints of idea and alertness. It comprises 11 contributions by way of renowned authors from around the world and an introductory bankruptcy. This quantity is strongly attached to a different quantity entitled "New methods in clever photograph research" (Eds. Roumen Kountchev and Kazumi Nakamatsu).
The chapters of this quantity are self-contained and contain precis, end and destiny works. a few of the chapters introduce particular case experiences of assorted clever regulate platforms and others specialize in clever conception dependent keep watch over recommendations with functions. A striking specificity of this quantity is that 3 chapters are facing clever regulate according to paraconsistent logics.
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Additional info for New Approaches in Intelligent Control: Techniques, Methodologies and Applications
The past moment nΔt (n < d) is selected to reduce the noise effect. The idea is that the FLS adapts the main controller gain following the changes of the plant gain, so that the open loop system gain remains constant. A general requirement in this investigation for all main-controller—FLS structures is the use of several SI or 2I FUs with reduced in number standard easily designed MFs and fuzzy rules, known universes of discourse, which facilitates the design of the two-level controller. Gains and ScFs are selected as simple means for continuous auto-tuning in order to optimize the performance indices they are linked to keep them at the deﬁned norms.
It is connected in the closed loop system with the FLS-AFLC that controls the plant to receive the same error signal and its output control action uPDC(t) is compared with the control of the FLS-AFLC uAFLC(t). For small relative error between uPDC(t) and uAFLC(t) the simpliﬁed PDC replaces the FLS-based AFLC. The approximation procedure is applied to a designed FLS-AFLC controller for the air temperature in a laboratory dryer. In Fig. 22 the step responses of the air temperature in a laboratory dryer and the corresponding control are seen for the adaptive real time control with the initial PI-FLS-AFLC and the simpliﬁed PI-PDC-AFLC.
The adaptation facilities of the dynamic gain/ScF auto-tuning are proven by the ability to globally and locally re-shape the control surface as seen in Fig. 5] and the FLS has two Gaussian MFs for the input and the output and a rule base “Small input—Great output”. 4 20 20 de 10 du du de=[-10,10] 30 20 20 10 15 e 0 30 20 de 20 10 10 0 e 0 Fig. 4 The effect of FLS auto-tuning on the control surface (mesh—FLC, surf—FLC-FLS) for FLS: a input de and output kde; b input e and output ka; c input du and output ka; d input de and output ka of linear controllers.