Intelligent Restructuring of Automated Production Systems

Abstract

A dynamic-structure system is one that has the flexibility to change the system configuration automatically so as to operate in an optimal manner. A conceptual model for a dynamic-structure system is presented in this chapter [1]. In the present model, the interchangeable or shareable components of the overall system are grouped together. Their activity levels are evaluated by an intelligent preprocessor that is associated with the group. A knowledge-based task distribution system evaluates the activity levels and makes decisions as to how the components operating below capacity should be shared with those that are overloaded. Associated decision making can be effected through fuzzy logic. A simulation example is given to illustrate the application of dynamic restructuring.

Analysis of FLC with changing fuzzy variables in frequency domain

“…5 shows that Fuzzy controller is substituted with describing function and (8) is approximate function for fuzzy controller. 1 1…”

“…7 that shows the eight ranges piecewise linearized response to e at 1 x =0.7, 2 x =0.7. Because the response may be changed according to x 1 and x 2 , we can define response function for x 1 and x 2 .…”

“…Using MCP, we can define the minimum gain margin and minimum phase margin which can determine whether the system has limit cycle or not. In this study, we define MCP as a function of nonlinear tuning parameters 1 x and x 2 . (10) shows this function and we plot the contour of min 1 2 ( , ) P x x as Fig.…”

“…Fuzzy logic control (FLC) technique has shown significant efficiency in many industrial applications and improved conservative controller [1][2][3]. However it is hard to perform FLC analysis for its nonlinearity.…”

Fuzzy logic based energy and throughput aware design space exploration for MPSoCs

“…Since the scaling 43 of technology, and the advent of multicore architectures has 44 resulted in design spaces that are larger and too complex to be 45 handled by intuitive methods. Consequently, there arises a need 46 of automatic and intelligent schemes to systematically explore 47 the design parameters to find an optimum balance in terms of a 48 particular design goal (such as Energy and Throughput) for specific 49 applications [1]. This process is termed as Design Space 50 Exploration (DSE) [2].…”