Results 1  10
of
3,125
Synthesis and Analysis of Timeoptimal Current Trajectory Based on Finalstate Control for IPMSM
"... AbstractThis paper investigates timeoptimal current trajectory of an interior permanent magnet synchronous motor (IPMSM) and achievable performance limitations. The analysis with linearized IPMSM model shows that timeoptimal trajectory under voltage limit has qaxis current undershoot, daxis cu ..."
Abstract
 Add to MetaCart
AbstractThis paper investigates timeoptimal current trajectory of an interior permanent magnet synchronous motor (IPMSM) and achievable performance limitations. The analysis with linearized IPMSM model shows that timeoptimal trajectory under voltage limit has qaxis current undershoot, d
Stabilization Wedges: Solving the Climate Problem for the Next 50 Years with Current Technologies
 SCIENCE
, 2004
"... Humanity already possesses the fundamental scientific, technical, and industrial knowhow to solve the carbon and climate problem for the next halfcentury. A portfolio of technologies now exists to meet the world’s energy needs over the next 50 years and limit atmospheric CO2 to a trajectory that a ..."
Abstract

Cited by 307 (4 self)
 Add to MetaCart
Humanity already possesses the fundamental scientific, technical, and industrial knowhow to solve the carbon and climate problem for the next halfcentury. A portfolio of technologies now exists to meet the world’s energy needs over the next 50 years and limit atmospheric CO2 to a trajectory
Tractable inference for complex stochastic processes
 In Proc. UAI
, 1998
"... The monitoring and control of any dynamic system depends crucially on the ability to reason about its current status and its future trajectory. In the case of a stochastic system, these tasks typically involve the use of a belief state—a probability distribution over the state of the process at a gi ..."
Abstract

Cited by 302 (14 self)
 Add to MetaCart
The monitoring and control of any dynamic system depends crucially on the ability to reason about its current status and its future trajectory. In the case of a stochastic system, these tasks typically involve the use of a belief state—a probability distribution over the state of the process at a
The partigame algorithm for variable resolution reinforcement learning in multidimensional statespaces
 MACHINE LEARNING
, 1995
"... Partigame is a new algorithm for learning feasible trajectories to goal regions in high dimensional continuous statespaces. In high dimensions it is essential that learning does not plan uniformly over a statespace. Partigame maintains a decisiontree partitioning of statespace and applies tec ..."
Abstract

Cited by 255 (9 self)
 Add to MetaCart
techniques from gametheory and computational geometry to efficiently and adaptively concentrate high resolution only on critical areas. The current version of the algorithm is designed to find feasible paths or trajectories to goal regions in high dimensional spaces. Future versions will be designed to find
COMPUTATION, ACCURACY AND APPLICATIONS OF TRAJECTORIES  A REVIEW AND BIBLIOGRAPHY
, 1998
"... To the authors knowledge, there exists no recent review paper on the computation and use of trajectories. To fill this gap, this study summarizes the current knowledge on the calculation and application of trajectories. The different techniques that can be used to compute trajectories are presented ..."
Abstract

Cited by 128 (16 self)
 Add to MetaCart
To the authors knowledge, there exists no recent review paper on the computation and use of trajectories. To fill this gap, this study summarizes the current knowledge on the calculation and application of trajectories. The different techniques that can be used to compute trajectories
Approximate Planning in Large POMDPs via Reusable Trajectories
, 1999
"... We consider the problem of choosing a nearbest strategy from a restricted class of strategies in a partially observable Markov decision process (POMDP). We assume we are given the ability to simulate the behavior of the POMDP, and we provide methods for generating simulated experience su cient to a ..."
Abstract

Cited by 117 (13 self)
 Add to MetaCart
dimension, and our methods develop connections between problems of current interest in reinforcement learning and wellstudied issues in the theory of supervised learning. We also discuss a number of practical planning algorithms for POMDPs that arise from our reusable trajectories.
PROBABILITY CURRENT AND TRAJECTORY REPRESENTATION
, 2000
"... A unified form for real and complex wave functions is proposed for the stationary case, and the quantum HamiltonJacobi equation is derived in the threedimensional space. The difficulties which appear in Bohm’s theory like the vanishing value of the conjugate momentum in the real wave function case ..."
Abstract
 Add to MetaCart
a rotation of the wave function in the complex space implies that microstates do not appear. For bound states, it is shown that some freedom subsists and gives rise to the manifestation of microstates not detected by the Schrödinger wave function. Key words: probability current, quantum Hamilton
Coupled detection and trajectory estimation for multiobject tracking
 In ICCV
, 2007
"... We present a novel approach for multiobject tracking which considers object detection and spacetime trajectory estimation as a coupled optimization problem. It is formulated in a hypothesis selection framework and builds upon a stateoftheart pedestrian detector. At each time instant, it searches ..."
Abstract

Cited by 101 (9 self)
 Add to MetaCart
, it searches for the globally optimal set of spacetime trajectories which provides the best explanation for the current image and for all evidence collected so far, while satisfying the constraints that no two objects may occupy the same physical space, nor explain the same image pixels at any point in time
Indexing moving points
, 2003
"... We propose three indexing schemes for storing a set S of N points in the plane, each moving along a linear trajectory, so that any query of the following form can be answered quickly: Given a rectangle R and a real value t; report all K points of S that lie inside R at time t: We first present an in ..."
Abstract

Cited by 184 (11 self)
 Add to MetaCart
We propose three indexing schemes for storing a set S of N points in the plane, each moving along a linear trajectory, so that any query of the following form can be answered quickly: Given a rectangle R and a real value t; report all K points of S that lie inside R at time t: We first present
A trajectory for community networks
 The Information Society
, 2003
"... We argue that the World Wide Web, network communities, and computersupported cooperative work have transformed the context for community networks, occasioning a reconstruction of the concept. We analyze features of proximate communities and use these as a basis for examining the design rationale fo ..."
Abstract

Cited by 29 (4 self)
 Add to MetaCart
for current implementations of community networks. In particular, we highlight multiple roles and relationships, social and material reciprocity, personal and institutional visibility and accountability, personal and collective efficacy, communitybased institutions, and place. We use the analysis to identify
Results 1  10
of
3,125