Planning and Control (The Morgan Kaufmann Series in Representation & Reasoning)

by Thomas Dean and Michael Wellman

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"Planning and Control" explores planning and control by reformulating the two areas in a common control framework, developing the corresponding techniques side-by-side, and identifying opportunities for integrating their ideas and methods. This book is organized around the central roles of prediction, observation, and computation control. The first three chapters deal with predictive models of physical systems based on temporal logic and the differential calculus. Chapter 4 and 5 present some basic concepts in planning and control, including controllability, observability, stability, feedback control, task reduction, conditional plans, and the relationship between goals and preferences. Chapters 6 and 7 consider issues of uncertainty, covering state estimation and the Kalman filter, stochastic dynamic programming, probabilistic modeling, and graph-based decision models. The remaining chapters investigate selected topics in time-critical decision making, adaptive control, and hybrid control architectures. Throughout, the reader is led to consider critical tradeoffs involving the accuracy of prediction, the availability of information from observation, and the costs and benefits of computation in dynamic environments. This book is useful to researchers in artificial intelligence and control theory, and others concerned with the design of complex applications in robotics, automated manufacturing, and time-critical decision support.
  • ISBN10 1558602097
  • ISBN13 9781558602090
  • Publish Date December 1991
  • Publish Status Out of Print
  • Out of Print 21 November 2009
  • Publish Country US
  • Publisher Elsevier Science & Technology
  • Imprint Morgan Kaufmann Publishers In
  • Format Hardcover
  • Pages 486
  • Language English