This paper is concerned with the design of networked control systems using the modified generalized predictive control (M-GPC) method. Both sensor-to-controller (S-C) and controller-to-actuator (C-A) network-induced delays are modeled by two Markov chains. M-GPC uses the available output and prediction control information at the controller node to obtain the future control sequences. Different from the conventional generalized predictive control in which only the first element in control sequences is used, M-GPC employs the whole control sequences to compensate for the time delays in S-C and C-A links. The closed-loop system is further formulated as a special jump linear system. The sufficient and necessary condition to guarantee the stochastic stability is derived. Simulation studies and experimental tests for an experimental hydraulic position control system are presented to verify the effectiveness of the proposed method.
Skip Nav Destination
e-mail: yshi@uvic.ca
Article navigation
Research Papers
Modified Generalized Predictive Control of Networked Systems With Application to a Hydraulic Position Control System
Bo Yu,
Bo Yu
Department of Mechanical Engineering,
University of Michigan
, Ann Arbor, MI 48109-2125
Search for other works by this author on:
Yang Shi,
Yang Shi
Department of Mechanical Engineering,
e-mail: yshi@uvic.ca
University of Victoria
, P.O. Box 3055, STN CSC, Victoria, BC, V8W 3P6, Canada
Search for other works by this author on:
Ji Huang
Ji Huang
Department of Mechanical Engineering,
University of Victoria
, P.O. Box 3055, STN CSC, Victoria, BC, V8W 3P6, Canada
Search for other works by this author on:
Bo Yu
Department of Mechanical Engineering,
University of Michigan
, Ann Arbor, MI 48109-2125
Yang Shi
Department of Mechanical Engineering,
University of Victoria
, P.O. Box 3055, STN CSC, Victoria, BC, V8W 3P6, Canadae-mail: yshi@uvic.ca
Ji Huang
Department of Mechanical Engineering,
University of Victoria
, P.O. Box 3055, STN CSC, Victoria, BC, V8W 3P6, CanadaJ. Dyn. Sys., Meas., Control. May 2011, 133(3): 031009 (9 pages)
Published Online: March 25, 2011
Article history
Received:
August 25, 2008
Revised:
November 12, 2010
Online:
March 25, 2011
Published:
March 25, 2011
Citation
Yu, B., Shi, Y., and Huang, J. (March 25, 2011). "Modified Generalized Predictive Control of Networked Systems With Application to a Hydraulic Position Control System." ASME. J. Dyn. Sys., Meas., Control. May 2011; 133(3): 031009. https://doi.org/10.1115/1.4003385
Download citation file:
Get Email Alerts
Data-Driven Tracking Control of a Cushion Robot With Safe Autonomous Motion Considering Human-Machine Interaction Environment
J. Dyn. Sys., Meas., Control (July 2025)
Dynamic Obstacle Avoidance Strategy for High-Speed Vehicles Via Constrained Model Predictive Control and Improved Artificial Potential Field
J. Dyn. Sys., Meas., Control (July 2025)
An Adaptive Sliding-Mode Observer-Based Fuzzy PI Control Method for Temperature Control of Laser Soldering Process
J. Dyn. Sys., Meas., Control
Related Articles
Receding Horizon Control for Constrained Markovian Jump Linear Systems With Bounded Disturbance
J. Dyn. Sys., Meas., Control (January,2011)
Pulse Width Control for Precise Positioning of Structurally Flexible Systems Subject to Stiction and Coulomb Friction
J. Dyn. Sys., Meas., Control (March,2004)
Active Position and Vibration Control of a Flexible Links Mechanism Using Model-Based Predictive Control
J. Dyn. Sys., Meas., Control (January,2010)
Predictive Control for Time-Delayed Switching Control Systems
J. Dyn. Sys., Meas., Control (December,2006)
Related Proceedings Papers
Related Chapters
Stability for a Class of Infinite Dimension Stochastic Systems with Delay
International Conference on Computer Technology and Development, 3rd (ICCTD 2011)
An Adaptive Fuzzy Control for a Multi-Degree-of-Freedom System
Intelligent Engineering Systems Through Artificial Neural Networks, Volume 17
Servo System Position Control of Honing Machine Based on Fuzzy Control
International Conference on Mechanical and Electrical Technology, 3rd, (ICMET-China 2011), Volumes 1–3