A stochastic regulator for integrated communication and control systems: Part I–formulation of control law

Luen Woei Llou, Asok Ray

Research output: Contribution to journalArticlepeer-review

117 Scopus citations

Abstract

Integrated Communication and Control Systems (ICCS), recently introduced and analyzed in a series of papers [1-7], are applicable to complex dynamical processes like advanced aircraft, spacecraft, automotive, and manufacturing processes. Timedivision-multiplexed computer networks are employed in ICCS for exchange of information between spatially distributed plant components as well as for coordination of the diverse control and decision-making functions. Unfortunately, an ICCS network introduces randomly varying, distributed delays within the feedback loops in addition to the digital sampling and data processing delays. These network-induced delays degrade the system dynamic performance, and are a source of potential instability. This two-part paper presents the synthesis and performance evaluation of a stochastic optimal control law for ICCS. In this paper, which is the first of two parts, a state feedback control law for ICCS has been formulated by using the dynamic programming and optimality principle on a finite-time horizon. The control law is derived on the basis of a stochastic model of the plant which is augmented in state space to take into account the effects of randomly varying delays in the feedback loop. The second part [8] presents numerical analysis of the control law and its performance evaluation by simulation of the flight dynamic model of an advanced aircraft.

Original languageEnglish (US)
Pages (from-to)604-611
Number of pages8
JournalJournal of Dynamic Systems, Measurement and Control, Transactions of the ASME
Volume113
Issue number4
DOIs
StatePublished - Dec 1991

All Science Journal Classification (ASJC) codes

  • Mechanical Engineering
  • Information Systems
  • Instrumentation
  • Control and Systems Engineering
  • Computer Science Applications

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