Abstract Self-optimizing process planning is an essential approach for finding optimum parameters and reducing ramp-up times in machining processes. For this purpose, polishing presented as application example. In conventional processes, the are selected according to operator’s expertise order achieve a high-quality surface final production step. By implementing machine learning (ML) models pla...

This paper reports a study of the electromagnetic processes in self-generating resonant inverters, as well derivation analytical dependences their operating frequency on parameters resonance circuit and positive feedback circuits, order to expand range output power optimize operation. The object research is which autogeneration current oscillations carried out process results studying sequentia...

The chilled-water systems, mainly consisting of electric chillers and cooling towers, are crucial for the ventilating and air conditioning systems in commercial buildings. Energy efficient operation of such systems is thus important for the energy saving of commercial buildings. This paper presents an extremum seeking control (ESC) scheme for energy efficient operation of the chilled-water syst...

An approach for automatic control using on-line learning is presented. The controller’s model for the system represents the effects of control actions in v,’u’ious (hyperspherical) regions of state space. The partition produced by these regions is initially coarse, limiting optimization of the corresponding control actions. Regions contract periodically to enable optimization to progress furthe...

This paper presents a Dynamic Source Routing Protocol using Self Healing and Optimizing Routing Technique based on fuzzy logic concepts. The paths generated by conventional dynamical source routing protocol deviate far from the optimal paths because of the lack of knowledge about the global topology and the mobility of nodes. Routing optimality affects the network performance, especially when t...

Detecting and predicting a program’s execution phases are crucial to dynamic optimizations and dynamically adaptable systems. This paper shows that a phase can be associated with dynamic code regions embedded in loops and procedures which are primary targets of compiler optimizations. This paper proposes a new phase tracking hardware, especially for dynamic optimizations, that effectively ident...

The four key objective properties of a system that are required for it to qualify as “autonomic” are now wellaccepted––self-configuring, self-healing, self-protecting, and self-optimizing––together with the attribute properties––viz. self-aware, environment-aware, selfmonitoring and self-adjusting. This paper describes these self-* properties as exhibited in NASA missions, and in particular wit...

| This is Part II of a two part paper on the design of an intelligent controller for a class of exercise machines. The control objective is to cause the user to exercise in a manner that optimizes a criterion related to the user's mechanical power. The optimal exercise strategy is determined by an a-priori unknown biomechanical behavior, called the Hill surface, of the individual user. Conseque...