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Keywords: Markov processes
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Journal Articles
Publisher: ASME
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
Publisher: ASME
Article Type: Research Papers
J. Dyn. Sys., Meas., Control. May 2011, 133(3): 031009.
Published Online: March 25, 2011
... to verify the effectiveness of the proposed method. 25 08 2008 12 11 2010 25 03 2011 25 03 2011 closed loop systems delay systems hydraulic control equipment hydraulic systems linear systems Markov processes networked control systems position control predictive control...
Journal Articles
Publisher: ASME
Article Type: Research Papers
J. Dyn. Sys., Meas., Control. March 2011, 133(2): 021011.
Published Online: March 9, 2011
..., finite-state Markov process with right continuous trajectories and taking values in a finite set S ≜ { 1 , 2 , … , s } with generator Π = ( π i j ) . The transition probability from mode i at time t to mode j at time t + Δ t , i...
Journal Articles
Publisher: ASME
Article Type: Technical Briefs
J. Dyn. Sys., Meas., Control. January 2011, 133(1): 014504.
Published Online: November 29, 2010
... where Δ t > 0 and lim Δ t ↓ 0   o ( Δ t ) / Δ t → 0 . Furthermore, the Markov process transition rate matrix is defined by ∏ = [ π 11 π 12 ⋯ π 1 N π 21 π 22 ⋯ π 2 N...
Journal Articles
Publisher: ASME
Article Type: Research Papers
J. Dyn. Sys., Meas., Control. January 2011, 133(1): 011005.
Published Online: November 24, 2010
... 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 can be modeled as hybrid systems with continuous and discrete dynamics...
Journal Articles
Publisher: ASME
Article Type: Research Papers
J. Dyn. Sys., Meas., Control. September 2010, 132(5): 051005.
Published Online: August 16, 2010
... , “ An Algorithmic Introduction to Numerical Simulation of Stochastic Differential Equations ,” SIAM Rev. 0036-1445 , 43 ( 3 ), pp. 525 – 546 . 10.1137/S0036144500378302 asymptotic stability control system synthesis differential equations fuzzy control Markov processes robust control stochastic...
Journal Articles
Publisher: ASME
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
Publisher: ASME
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
Publisher: ASME
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
Publisher: ASME
Article Type: Research Papers
J. Dyn. Sys., Meas., Control. July 2009, 131(4): 041011.
Published Online: May 20, 2009
... associated with the state being visited by the chain at time k , s k = i ∊ S , when the control action a k is selected. D EFINITION 2.3. When the state of a Markov process is discrete, then the process is called a Markov chain ( 26 ) . D EFINITION 2.2. A Markov...
Journal Articles
Publisher: ASME
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
Publisher: ASME
Article Type: Research Papers
J. Dyn. Sys., Meas., Control. July 2008, 130(4): 041010.
Published Online: June 9, 2008
... processes were separately introduced to model the component fault and the FDI decision processes ( 13 14 15 16 17 18 19 ). Based on this two-Markov-process model, Srichander and Walker ( 13 ) derived the necessary and sufficient conditions for the ESMS of a linear active FTC system; Shi and Boukas...
Journal Articles
Publisher: ASME
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
Publisher: ASME
Article Type: Research Papers
J. Dyn. Sys., Meas., Control. March 2008, 130(2): 021004.
Published Online: February 29, 2008
... 6.44 6.95 7.44 7.92 500 3.33 4.05 4.71 5.34 5.93 6.49 7.00 7.51 7.98 time-limited dispatch TLD Monte Carlo simulation dispatch category specification aerospace industry aircraft maintenance failure analysis Markov processes Monte Carlo methods 31 05 2006...
Journal Articles
Publisher: ASME
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
Journal Articles
Publisher: ASME
Article Type: Technical Briefs
J. Dyn. Sys., Meas., Control. June 2006, 128(2): 391–393.
Published Online: May 22, 2005
... and suggestions which led to improvements of this paper. 09 10 2003 22 05 2005 transient response continuous time systems iterative methods reduced order systems Markov processes matrix algebra In many engineering problems, it is often desirable to approximate a high-order system...
Journal Articles
Publisher: ASME
Article Type: Technical Briefs
J. Dyn. Sys., Meas., Control. June 2003, 125(2): 271–277.
Published Online: June 4, 2003
... 06 2003 robust control 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...
Journal Articles
Publisher: ASME
Article Type: Technical Papers
J. Dyn. Sys., Meas., Control. September 2000, 122(3): 551–559.
Published Online: October 6, 1998
... J i , i = 1 , 2 , … , n y using ( 4.4 ) and form a performance matrix (4.5) J = diag { J 1 , J 2 , … , J n y } linear quadratic Gaussian control control system synthesis Markov processes stochastic systems...