INTEGRATED COMMUNICATION AND CONTROL SYSTEMS WITH OCCASIONAL INFORMATION FEEDBACK

2008 ◽  
Vol 39 (8) ◽  
pp. 843-873 ◽  
Author(s):  
Ge Guo
Keyword(s):  
Control Systems ◽  
Information Feedback ◽  
Integrated Communication ◽  
And Control

Performance Analysis of Integrated Communication and Control System Networks

1990 ◽  
Vol 112 (3) ◽  
pp. 365-371 ◽  
Author(s):  
Y. Halevi ◽  
A. Ray
Keyword(s):  
Control System ◽  
Statistical Analysis ◽  
Performance Analysis ◽  
Control Systems ◽  
Manufacturing Plants ◽  
Asynchronous Time Division Multiplexing ◽  
Processing Plants ◽  
Integrated Communication ◽  
Time Division ◽  
And Control

This paper presents statistical analysis of delays in Integrated Communication and Control System (ICCS) networks [1–4] that are based on asynchronous time-division multiplexing. The models are obtained in closed form for analyzing control systems with randomly varying delays. The results of this research are applicable to ICCS design for complex dynamical processes like advanced aircraft and spacecraft, autonomous manufacturing plants, and chemical and processing plants.

A Stochastic Regulator for Integrated Communication and Control Systems: Part II—Numerical Analysis and Simulation

1991 ◽  
Vol 113 (4) ◽  
pp. 612-619 ◽  
Author(s):  
Luen-Woei Liou ◽  
Asok Ray
Keyword(s):  
Control Systems ◽  
Numerical Procedure ◽  
Linear Quadratic Regulator ◽  
State Feedback Control ◽  
Control Law ◽  
Linear Quadratic ◽  
Simulation Experiments ◽  
Integrated Communication ◽  
And Control ◽  
Future Work

A state feedback control law has been derived in Part I [1] of this two-part paper on the basis of an augmented plant model [2, 3, 4] that accounts for the randomly varying delays induced by the network in Integrated Communication and Control Systems (ICCS). The control algorithm was formulated as a linear quadratic regulator problem and then solved using the principle of dynamic programming and optimality. This paper, which is the second of two parts, presents (i) a numerical procedure for synthesizing the control parameters and (ii) results of simulation experiments for verification of the above control law using the flight dynamic model of an advanced aircraft. This two-part paper is concluded with recommendations for future work.

scholarly journals Integrated Communication and Control Systems: Part II—Design Considerations

1988 ◽  
Vol 110 (4) ◽  
pp. 374-381 ◽  
Author(s):  
Asok Ray ◽  
Yoram Halevi
Keyword(s):  
Control Systems ◽  
Dynamic Performance ◽  
Sufficient Conditions ◽  
System Stability ◽  
Time Varying ◽  
Control Loops ◽  
Analysis And Design ◽  
Integrated Communication ◽  
And Control ◽  
Analytical Approaches

Asynchronous time-division multiplexed networks, used in Integrated Communication and Control Systems (ICCS), introduce time-varying and possibly stochastic delays in the feedback control loops. The objective of this on-going research is to develop a comprehensive methodology for the analysis and design of the above class of delayed control systems. In the first part [1] of this two-part paper, we developed a discrete-time, finite-dimensional, time-varying model of the delayed control system; necessary and sufficient conditions for system stability have been established for periodically varying delays. This second part elucidates the significance of the above model relative to the system dynamic performance as well as addresses major criteria for and outlines alternative analytical approaches to ICCS design. Pertinent concepts are illustrated by simulation.

Integrated Communication and Control Systems: Part I—Analysis

1988 ◽  
Vol 110 (4) ◽  
pp. 367-373 ◽  
Author(s):  
Yoram Halevi ◽  
Asok Ray
Keyword(s):  
Control System ◽  
Control Systems ◽  
Dynamic Performance ◽  
Digital Data ◽  
Time Varying ◽  
Data Traffic ◽  
Time Model ◽  
Loop Control ◽  
Integrated Communication ◽  
And Control

Computer networking is a reliable and efficient means for communications between disparate and distributed components in complex dynamical processes like advanced aircraft, spacecraft, and autonomous manufacturing plants. The role of Integrated Communication and Control Systems (ICCS) is to coordinate and perform interrelated functions, ranging from real-time multi-loop control to information display and routine maintenance support. In ICCS, a feedback control loop is closed via the common communication channel which multiplexes digital data from the sensor to the controller and from the controller to the actuator along with the data traffic from other loops and management functions. Due to the asynchronous time-division multiplexing of the network protocol, time-varying and possibly stochastic delays are introduced in the control system, which degrade the system dynamic performance and are a source of potential instability. The paper is divided into two parts. In the first part, the delayed control system is represented by a finite-dimensional, time-varying, discrete-time model which is less complex than the existing continuous-time models for time-varying delays; this approach allows for simpler schemes for analysis and simulation of ICCS. The second part of the paper addresses ICCS design considerations and presents simulation results for certain operational scenarios of ICCS.

A Stochastic Regulator for Integrated Communication and Control Systems: Part I—Formulation of Control Law

1991 ◽  
Vol 113 (4) ◽  
pp. 604-611 ◽  
Author(s):  
Luen-Woei Liou ◽  
Asok Ray
Keyword(s):  
Performance Evaluation ◽  
Control Systems ◽  
Dynamic Performance ◽  
State Feedback Control ◽  
Control Law ◽  
Spatially Distributed ◽  
Integrated Communication ◽  
Finite Time Horizon ◽  
And Performance ◽  
And Control

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. 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. 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.

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