This paper deals with the phenomenon that in a switching network the individual link groups between any two stages do not have a uniform traffic load. Such a non-uniform load within the switching network can be due to the following causes: External causes: When subscribers and trunks are assigned to the switching network, uniform distribution of the load over the individual matrices is not achi...

Abstract. This paper considers the problem of determining optimal switching times at which mode transitions should occur in multi-modal, hybrid systems. An expression for the gradient of the cost functional, defined with respect to the switching times, is presented in such a way that not only the switching times, but also the number of switches can be incorporated in the problem formulation. Nu...

We study observability of switched differentialalgebraic equations (DAEs) for arbitrary switching. We present a characterization of observability and, a related property called, determinability. These characterizations utilize the results for the single-switch case recently obtained by the authors. Furthermore, we study observability conditions when only the mode sequence of the switching signa...

In a modern large-capacity magnetic hard disk drive (HDD), both fast track seeking and perfect positioning of the read/write head are required. Mode switching control (MSC) approaches are widely used to meet these requirements. This paper proposes a new approach in designing MSC with an application to HDD servo systems. The proposed scheme uses a proximate time-optimal servomechanism in the tra...

This paper concerns the design of robust control systems using sliding-mode control that incorporates a fuzzy tuning technique. The control law superposes equivalent control, switching control, and fuzzy control. An equivalent control law is first designed using pole placement. Switching control is then added to guarantee that the state reaches the sliding mode in the presence of parameter and ...

Reinforcement learning (RL) can be impractical for many high dimensional problems because of the computational cost of doing stochastic search in large state spaces. We propose a new RL method, Boundary Localized Reinforcement Learning (BLRL), which maps RL into a mode switching problem where an agent deterministically chooses an action based on its state, and limits stochastic search to small ...

This paper discusses fuzzy sliding mode controller applied for induction motor field oriented control with space-vector pulse-width modulated inverter. The speed control is obtained by controlling the inverter switching frequency determined by the reference voltage resulted by the controller. Simulation results show that fuzzy sliding mode controller performed satisfactorily and better compared...

An adaptive fuzzy sliding mode control scheme is presented in this article. Despite the advantages of sliding mode control design for uncertain dynamic systems, classical sliding mode control has a major problem in the form of chattering, produced by the rapid switching used to conduct the state trajectories toward the sliding surfaces. A variety of methods are used to achieve chattering-free m...

This paper describes a four quadrant, 250kW(550V, 450A) switch-mode, zero current soft switching (ZCS) power converter for a 1.4 GeV beam transfer line magnet. The ZCS technique is the preferred approach for the high power switch-mode converters employing Insolated Gate Bipolar Transistors (IGBT) to reduce switching losses and EMI. This switch-mode power converter topology has been selected bec...