Trajectory optimization is a complex process that includes an infinite number of possibilities and combinations. This work focuses on particular aspect the trajectory optimization, related to velocity along predefined path, with aim minimizing power consumption. To tackle problem, functional formulation minimization strategy developed, by means Euler-Lagrange equation. The later performed using...

We improve a recent result [A. Badr: Hyper-Minimization in O(n). In Proc. CIAA, LNCS 5148, 2008] for hyper-minimized finite automata. Namely, we present an O(n log n) algorithm that computes for a given finite deterministic automaton (dfa) an almost equivalent dfa that is as small as possible—such an automaton is called hyper-minimal. Here two finite automata are almost equivalent if and only i...

In this paper a new optimization function for increasing the flux weakening range and output torque value of segmented interior permanent magnet synchronous motor (SIPMSM) is presented. In proposed objective function normalized characteristic current and saliency ratio are considered as two optimization variables during optimization process. The focus of this paper is rotor structure design suc...

We improve a recent result [Badr: Hyper-minimization inO(n). Int. J. Found. Comput. Sci. 20, 2009] for hyper-minimized nite automata. Namely, we present an O(n log n) algorithm that computes for a given deterministic nite automaton (dfa) an almostequivalent dfa that is as small as possible such an automaton is called hyper-minimal. Here two nite automata are almost-equivalent if and only if the...

  Background: Our institution’s traditional pain management strategy after shoulder arthroplasty has involved the utilization of postoperative patient-controlled narcotic analgesia. More recently, we have implemented a protocol (TLC) that utilizes a multimodal approach. The purpose of this study was to determine whether this change has improved pain control and decreased narcotic utilization. ...

Due to the growing air quality concern in urban areas and rising fuel prices, bus fleets are progressively turning hybrid electric vehicles (HEVs) which show higher efficiency lower emissions comparison with conventional vehicles. HEVs can reduce consumption by combining different energy sources (i.e., batteries). In this sense, performance of is strongly dependent on management strategy (EMS) ...

We compare deterministic finite automata (DFAs) and biautomata under the following two aspects: structural similarities between minimal and hyper-minimal automata, and computational complexity of the minimization and hyper-minimization problem. Concerning classical minimality, the known results such as isomorphism between minimal DFAs, and NL-completeness of the DFA minimization problem carry o...

We improve on an existing [P.A. Abdulla, J. Högberg, L. Kaati. Bisimulation Minimization of Tree Automata. Int. J. Found. Comput. Sci. 18(4): 699–713, 2007] bisimulation minimization algorithm for finite-state tree automata by introducing backward and forward bisimulation and developing minimization algorithms for them. Minimization via forward bisimulation is also effective on deterministic tr...

Efficient state of charge management of plug-in hybrid electric vehicles (PHEVs) differs from their nonplug-in counterparts through the utilization of a charge depleting (CD) mode of operation. Several studies have shown that a blended mode of CD holds fuel economy advantages over a CD and charge sustaining (CS) combination, however, these approaches assume knowledge of the total journey distan...