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Fuzzy Sets and Systems, ISSN 0165-0114, 05/2017, Volume 314, pp. 79 - 98
This paper investigates the problem of the reliable mixed H∞/passive control for Takagi–Sugeno (T–S) fuzzy delayed systems based on a semi-Markov jump model... 
T–S fuzzy systems | Time delays | Semi-Markov jump model | Reliable mixed [formula omitted]/passive control | passive control | Reliable mixed H | Electrical engineering | Markov processes | Actuators | Models | Analysis
Journal Article
Applied Mathematics and Computation, ISSN 0096-3003, 09/2019, Volume 356, pp. 235 - 251
Journal Article
IEEE Transactions on Industrial Electronics, ISSN 0278-0046, 03/2019, Volume 66, Issue 3, pp. 2081 - 2091
Journal Article
Applied Mathematics and Computation, ISSN 0096-3003, 05/2019, Volume 349, pp. 270 - 280
This paper addresses the asynchronous H∞ control problem for a class of continuous-time semi-Markov jump linear systems. Under the assumption that the system... 
Asynchronous controller | Jump linear systems | Semi-Markov process
Journal Article
Neurocomputing, ISSN 0925-2312, 10/2015, Volume 166, pp. 447 - 454
This paper studies the problem of finite-time H∞ synchronization control for semi-Markov jump delayed neural networks with randomly occurring uncertainties.... 
Semi-Markov jump neural networks | Finite-time synchronization | Randomly occurring uncertainties | [formula omitted] control | H∞ control | Neural networks
Journal Article
International Journal of Robust and Nonlinear Control, ISSN 1049-8923, 10/2019, Volume 29, Issue 15, pp. 5251 - 5273
Journal Article
Applied Mathematics and Computation, ISSN 0096-3003, 09/2018, Volume 332, pp. 363 - 375
This paper deals with stability analysis and control synthesis for positive semi-Markov jump systems (S-MJSs) with time-varying delay, in which the stochastic... 
Linear programming | Semi-Markov jump systems | Semi-Markov process | Time-varying delay | LINEAR-SYSTEMS | COPOSITIVE LYAPUNOV FUNCTIONS | MATHEMATICS, APPLIED | EXPONENTIAL STABILITY | STABILIZATION | SLIDING MODE CONTROL | STOCHASTIC STABILITY | DISTURBANCE | FILTER DESIGN | L-1-GAIN ANALYSIS | SATURATION | Markov processes | Analysis
Journal Article
International Journal of Adaptive Control and Signal Processing, ISSN 0890-6327, 09/2014, Volume 28, Issue 9, pp. 833 - 847
Journal Article
Applied Mathematics and Computation, ISSN 0096-3003, 03/2019, Volume 344-345, pp. 230 - 242
Journal Article
Applied Mathematics and Computation, ISSN 0096-3003, 11/2017, Volume 312, pp. 36 - 48
Journal Article
IEEE Transactions on Circuits and Systems II: Express Briefs, ISSN 1549-7747, 12/2018, Volume 65, Issue 12, pp. 1998 - 2002
Journal Article
International Journal of Robust and Nonlinear Control, ISSN 1049-8923, 12/2013, Volume 23, Issue 18, pp. 2028 - 2043
Journal Article
IEEE Transactions on Automatic Control, ISSN 0018-9286, 09/2019, Volume 64, Issue 9, pp. 3616 - 3631
We consider continuous-time, finite-horizon, optimal quadratic control of semi-Markov jump linear systems (S-MJLS), and develop principled approximations... 
Linear systems | Analytical models | semi-Markov jump linear systems | Control design | Optimal control | phase-type distribution | matrix-exponential distribution | Markov processes | stochastic systems | Mathematical model | PHASE-TYPE DISTRIBUTIONS | STABILITY | CHAINS | AUTOMATION & CONTROL SYSTEMS | ENGINEERING, ELECTRICAL & ELECTRONIC
Journal Article
Applied Mathematics and Computation, ISSN 0096-3003, 03/2020, Volume 369, p. 124841
This work devotes to designing the fault-tolerant output feedback controller for the hydraulic automation gauge control system of cold rolling mills. The... 
Semi-Markov process | Cold rolling mills | Fault-tolerant control | Output feedback control | SINGULAR SYSTEMS | TENSION CONTROL | MATHEMATICS, APPLIED | MARKOV SWITCHING TOPOLOGIES | TIME | STATE ESTIMATION | SYNCHRONIZATION | NEURAL-NETWORKS | STABILITY ANALYSIS | SYSTEMS SUBJECT
Journal Article
Mathematics of Control, Signals, and Systems, ISSN 0932-4194, 3/2017, Volume 29, Issue 1, pp. 1 - 35
In the present work, we employ backward stochastic differential equations (BSDEs) to study the optimal con