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Keywords: Markov processes
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Journal Articles
Article Type: Research Papers
J. Dyn. Sys., Meas., Control. January 2012, 134(1): 011011.
Published Online: December 5, 2011
... stable are derived. Finally, two numerical examples are provided to illustrate the effectiveness of the proposed conditions. 29 01 2011 18 09 2011 05 12 2011 05 12 2011 linear matrix inequalities Markov processes nonlinear systems stability stochastic systems...
Journal Articles
Article Type: Research Papers
J. Dyn. Sys., Meas., Control. May 2011, 133(3): 031009.
Published Online: March 25, 2011
... systems linear systems Markov processes networked control systems position control predictive control stability stochastic systems networked control systems (NCSs) generalized predictive control (GPC) time delays packet dropouts Markov chains stochastic stability The study...
Journal Articles
Article Type: Research Papers
J. Dyn. Sys., Meas., Control. March 2011, 133(2): 021011.
Published Online: March 9, 2011
... examples show that the proposed results are effective and much less conservative than some existing results. 25 06 2009 06 04 2010 09 03 2011 09 03 2011 delays linear matrix inequalities linear systems Markov processes stability Markov jump linear systems parameter...
Journal Articles
Article Type: Technical Briefs
J. Dyn. Sys., Meas., Control. January 2011, 133(1): 014504.
Published Online: November 29, 2010
... matrix inequalities framework. A numerical example is used to illustrate the effectiveness of the developed theoretic results. 13 03 2009 14 04 2010 29 11 2010 29 11 2010 control system synthesis linear matrix inequalities Markov processes probability stability state...
Journal Articles
Article Type: Research Papers
J. Dyn. Sys., Meas., Control. January 2011, 133(1): 011005.
Published Online: November 24, 2010
... 2010 asymptotic stability closed loop systems feedback linear systems Markov processes observers predictive control As a class of stochastic hybrid systems, Markovian jump linear systems (MJLSs) have received much attention in recent years. By the stochastic switching feature, MJLS...
Journal Articles
Article Type: Research Papers
J. Dyn. Sys., Meas., Control. September 2010, 132(5): 051005.
Published Online: August 16, 2010
... differential equations fuzzy control Markov processes robust control stochastic systems robust tracking control fuzzy approximation nonlinear stochastic systems Markovian jumps In the past few decades, the stochastic systems governed by the Itô differential equation have been extensively...
Journal Articles
Article Type: Research Papers
J. Dyn. Sys., Meas., Control. July 2010, 132(4): 041008.
Published Online: June 17, 2010
... distributed, binary-state Markov processes with state transition probabilities designated by a central controller. Second, steady-state behavior, convergence rate, and variance of the aggregate output, i.e., the total number of recruited agents, are analyzed, and design trade-offs in terms of accuracy...
Journal Articles
Article Type: Technical Briefs
J. Dyn. Sys., Meas., Control. May 2010, 132(3): 034504.
Published Online: April 28, 2010
...Shuping He; Fei Liu The stochastic finite-time stabilization problem is considered for a class of linear uncertain Markov jump systems that possess randomly jumping parameters. The transition of the jumping parameters is governed by a finite-state Markov process. By using the appropriate stochastic...
Journal Articles
Article Type: Research Papers
J. Dyn. Sys., Meas., Control. July 2009, 131(4): 041011.
Published Online: May 20, 2009
.... This paper provides the conditions that the POD can be valid, and be an interpretation of its underlying structure. 18 03 2008 04 02 2009 20 05 2009 control system analysis decision making Markov processes optimal control predictive control state estimation New...
Journal Articles
Article Type: Research Papers
J. Dyn. Sys., Meas., Control. July 2009, 131(4): 041010.
Published Online: May 20, 2009
... cart-pole balancing problem and a vehicle cruise-control problem. 18 03 2008 04 02 2009 20 05 2009 decision making Markov processes optimal control real-time systems state-space methods stochastic processes uncertain systems Deriving a control policy for dynamic...
Journal Articles
Article Type: Research Papers
J. Dyn. Sys., Meas., Control. September 2008, 130(5): 051001.
Published Online: July 29, 2008
... 03 2008 29 07 2008 Gaussian processes Kalman filters Markov processes reduced order systems seals (stoppers) stators mechanical gas face seal state estimation POD reduced-order Kalman filter Noncontacting mechanical gas face seals are often used in high speed, high...
Journal Articles
Article Type: Research Papers
J. Dyn. Sys., Meas., Control. July 2008, 130(4): 041010.
Published Online: June 9, 2008
... closed loop systems control system synthesis fault tolerance fuzzy control linear matrix inequalities Markov processes nonlinear control systems stability tracking fault tolerant control fuzzy control linear matrix inequality nonlinear systems stochastic stability tracking...
Journal Articles
Article Type: Technical Briefs
J. Dyn. Sys., Meas., Control. May 2008, 130(3): 034506.
Published Online: May 12, 2008
... Markov processes radio networks servomechanisms telecommunication channels telecommunication networks Wireless networks as a control medium have garnered significant research attention for their potential to enable applications demanding either high levels of controller and plant mobility...
Journal Articles
Article Type: Research Papers
J. Dyn. Sys., Meas., Control. March 2008, 130(2): 021004.
Published Online: February 29, 2008
... aerospace industry aircraft maintenance failure analysis Markov processes Monte Carlo methods time-limited dispatch TLD Monte Carlo simulation dispatch category specification Time-limited dispatch (TLD) first appeared after the launch of full-authority digital electronic control (FADEC...
Journal Articles
Article Type: Technical Papers
J. Dyn. Sys., Meas., Control. December 2006, 128(4): 878–890.
Published Online: April 16, 2006
... on the Markov chain modeling and stochastic dynamic programming (SDP). The driver demand is modeled as a Markov process to represent the future uncertainty under diverse driving conditions. The infinite-horizon SDP solution generates a stationary state-feedback control policy to achieve optimal power management...
Journal Articles
Article Type: Technical Papers
J. Dyn. Sys., Meas., Control. September 2006, 128(3): 617–625.
Published Online: January 23, 2006
... control system synthesis fuzzy set theory Markov processes linear matrix inequalities nonlinear control systems robust control uncertain systems fuzzy system models Lyapunov function stabilizing controller Markovian jumps Many physical systems may experience abrupt changes...
Journal Articles
Article Type: Technical Briefs
J. Dyn. Sys., Meas., Control. June 2006, 128(2): 391–393.
Published Online: May 22, 2005
... systems iterative methods reduced order systems Markov processes matrix algebra In many engineering problems, it is often desirable to approximate a high-order system by a low-order model since it facilitates simulation and implementation of the system. In the last three decades, considerable...
Journal Articles
Article Type: Technical Briefs
J. Dyn. Sys., Meas., Control. June 2003, 125(2): 271–277.
Published Online: June 4, 2003
... optimal control discrete time systems linear systems delays linear matrix inequalities uncertain systems Markov processes Jump Linear System Polytopic Uncertainty Time Delay LMI Jump linear system (JLS) is very popular to characterize a class of abrupt phenomena, i.e., abrupt...
Journal Articles
Article Type: Technical Papers
J. Dyn. Sys., Meas., Control. September 2000, 122(3): 551–559.
Published Online: October 6, 1998
... linear quadratic Gaussian control control system synthesis Markov processes stochastic systems minimisation LQG Control Markov Parameters Digital Control Output Variance Constraint Control Finite Horizon Optimal Control In spite of the advanced state of control theory, the most...