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In a surgery grading management system, surgeries are classified according to their operation difficulty and the complexity, surgeons' qualification is divided based on their experience and educational level, and a surgery of certain difficulty could only be done by a surgeon of certain qualification, therefore the operation risk cost could be reduced. When implementing surgery grading management...
The hardware-in-the-loop (HIL) simulation is an effective and flexible approach to simulate contact dynamics of flying objects in space. A HIL contact simulation system including the mechanical and control systems is established. One challenging problem of the HIL contact simulation is the simulation divergence caused by time delay. To guarantee the simulation accuracy, the time delay should be compensated...
We formulate optimization problems to study how data centers might modulate their power demands for cost-effective operation taking into account various complexities exhibited by real-world electricity pricing schemes. For computational tractability reasons, we work with a fluid model for power demands which we imagine can be modulated using two abstract knobs of demand dropping and demand delaying...
In this paper, we investigate impulsive effects on the stability a class of BAM type Cohen-Grossberg neural networks with delays and impulses. We obtain some sufficient conditions ensuring exponential stability of the impulsive system on time scales. The results extend and improve some recent works for impulsive neural networks as well as non-impulsive neural networks (or on time scales).
In this paper, the global exponential stability is studied for a class of cellular neural networks with distributed delays. With assuming global Lipschitz conditions on the activation functions, based on the vector Lyapunov function, using the technique by virtue of Young inequality and Halanay differential inequality with delay, some sufficient conditions are obtained to ensure the uniqueness equilibrium...
A class of impulsive neural networks with distributed delays is studied in this paper. With assuming global Lipschitz conditions on the activation functions, applying idea of vector Lyapunov function, combining Young inequality and Halanay differential inequality with delay, sufficient conditions are obtained for the existence of unique and global exponential stable equilibrium of the distributed...
This paper studies the linear quadratic regulation problem for linear discrete time-varying systems with one or multiple delays in control input. This type of input-delay system can be used to model delayed actuation, where the system depends on the input after various (could be more than one) time delays. We provide explicit forms of the finite horizon closed-loop optimal control laws. Numerical...
This paper investigates a class of finite-horizon linear quadratic regular control problem for the continuous networked control systems with both packet delay and packet dropping. Based on estimation approach, a complete and explicit solution to the LQ problem is given in terms of a backward Riccati equation. The control input can be determined without knowing whether the previous control signal is...
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