Results 291 to 300 of about 1,700,696 (345)
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IEEE Transactions on Systems, Man, and Cybernetics: Systems, 2020
In this paper, the event-triggered $\boldsymbol {H}_{\boldsymbol \infty }$ state estimation problem is investigated for a two-degree-of-freedom quarter-car suspension system operated over a switching-channel network environment.
Huaicheng Yan +4 more
semanticscholar +1 more source
In this paper, the event-triggered $\boldsymbol {H}_{\boldsymbol \infty }$ state estimation problem is investigated for a two-degree-of-freedom quarter-car suspension system operated over a switching-channel network environment.
Huaicheng Yan +4 more
semanticscholar +1 more source
IEEE Transactions on Automatic Control, 2023
This article is devoted to the discrete-time sliding mode control (DSMC) for nonlinear semi-Markovian switching systems (S-MSSs). Motivated by the fact that the complete information of the semi-Markov Kernel is difficult to be obtained in practical ...
Wenhai Qi +3 more
semanticscholar +1 more source
This article is devoted to the discrete-time sliding mode control (DSMC) for nonlinear semi-Markovian switching systems (S-MSSs). Motivated by the fact that the complete information of the semi-Markov Kernel is difficult to be obtained in practical ...
Wenhai Qi +3 more
semanticscholar +1 more source
Information Sciences, 2018
This paper investigates the event-triggered leader-following consensus problem for a multi-agent system with semi-Markov switching topologies. A sampled-data-based event-triggered transmission scheme is introduced to reduce unnecessary communication.
Jiangtao Dai, G. Guo
semanticscholar +1 more source
This paper investigates the event-triggered leader-following consensus problem for a multi-agent system with semi-Markov switching topologies. A sampled-data-based event-triggered transmission scheme is introduced to reduce unnecessary communication.
Jiangtao Dai, G. Guo
semanticscholar +1 more source
Nonlinear Analysis: Hybrid Systems, 2019
For multi-agent systems with switching topologies, the work addresses the fault-tolerant leader-following consensus issue. A semi-Markov chain is applied to describe randomly topological switching which may be caused by the complexity of network ...
Hao Shen +4 more
semanticscholar +1 more source
For multi-agent systems with switching topologies, the work addresses the fault-tolerant leader-following consensus issue. A semi-Markov chain is applied to describe randomly topological switching which may be caused by the complexity of network ...
Hao Shen +4 more
semanticscholar +1 more source
Applied Mathematics and Computation, 2019
For complex dynamic networks subject to switching topologies, an H∞ event-triggered control scheme is developed to deal with the finite-time synchronization problem.
Jing Wang +4 more
semanticscholar +1 more source
For complex dynamic networks subject to switching topologies, an H∞ event-triggered control scheme is developed to deal with the finite-time synchronization problem.
Jing Wang +4 more
semanticscholar +1 more source
Synchronization for Quantized Semi-Markov Switching Neural Networks in a Finite Time
IEEE Transactions on Neural Networks and Learning Systems, 2020Finite-time synchronization (FTS) is discussed for delayed semi-Markov switching neural networks (S-MSNNs) with quantized measurement, in which a logarithmic quantizer is employed.
Wenhai Qi +4 more
semanticscholar +1 more source
Neural Networks, 2020
This paper deals with the issue of resilient asynchronous state estimation of discrete-time Markov switching neural networks. Randomly occurring signal quantization and packet dropout are involved in the imperfect measured output.
Jun Cheng +4 more
semanticscholar +1 more source
This paper deals with the issue of resilient asynchronous state estimation of discrete-time Markov switching neural networks. Randomly occurring signal quantization and packet dropout are involved in the imperfect measured output.
Jun Cheng +4 more
semanticscholar +1 more source
Markov switching and exchange rate predictability
International Journal of Forecasting, 2011Abstract We first show that the recent success of modern macroeconomic models in forecasting nominal exchange rates, evaluated using the Clark and West (2006) inference procedure, is partly due to the presence of the constant term (drift), in addition to the economic fundamentals.
Alex Nikolsko-Rzhevskyy, Ruxandra Prodan
openaire +1 more source
Neural Networks, 2020
This work focuses on the problem of asynchronous filtering for nonhomogeneous Markov switching neural networks with variable packet dropouts (VPDs). The discrete-time nonhomogeneous Markov process is adopted to depict the modes switching of target plant,
Xia Zhou +3 more
semanticscholar +1 more source
This work focuses on the problem of asynchronous filtering for nonhomogeneous Markov switching neural networks with variable packet dropouts (VPDs). The discrete-time nonhomogeneous Markov process is adopted to depict the modes switching of target plant,
Xia Zhou +3 more
semanticscholar +1 more source
Markov Switching GARCH Diffusion [PDF]
, 2008 GARCH option pricing models have the advantage of a well-established econometric foundation. However, multiple states need to be introduced as single state GARCH and even Levy processes are unable to explain the term structure of the moments of financial data.
Carol Alexander, Emese Lazar
openaire