TY - JOUR
T1 - Stochastic regulator for integrated communication and control systems. Part I. Formulation of control law
AU - Liou, Luen Woei
AU - Ray, Asok
PY - 1990/12/1
Y1 - 1990/12/1
N2 - Integrated Communication and Control Systems (ICCS), recently introduced and analyzed in a series of papers, are applicable to complex dynamical processes like advanced aircraft, spacecraft, automotive, and manufacturing processes. Time-division-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.
AB - Integrated Communication and Control Systems (ICCS), recently introduced and analyzed in a series of papers, are applicable to complex dynamical processes like advanced aircraft, spacecraft, automotive, and manufacturing processes. Time-division-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.
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M3 - Conference article
AN - SCOPUS:0025536983
SN - 0402-1215
JO - American Society of Mechanical Engineers (Paper)
JF - American Society of Mechanical Engineers (Paper)
T2 - Proceedings of the Winter Annual Meeting
Y2 - 25 November 1990 through 30 November 1990
ER -