Titlebook: Handbook of Real-Time Computing; Yu-Chu Tian,David Charles Levy Living reference work 20200th edition

Jejune

狗窩

overweight

值得

Jing Li,Kunal Agrawal,Chenyang Luarbitrary choices and omissions must be made. Some entries from earlier editions have been left out to make room for other entries which we feel have become more important. We are especially grateful to those readers who have pointed out previous omissions. D.W.G.B. Imperial College, Uni!.:ersity of London D.R.L.

喪失

鑲嵌細(xì)工

Synchronization of Nonlinear Dynamical Networks with Heterogeneous Impulses, which the nonlinear dynamical networks with heterogeneous impulsive effects are exponentially synchronized to a desired state. An example is given to show the effectiveness of the proposed synchronization criterion.

運(yùn)動的我

Adaptive Consensus of Multiple Lagrangian Systems,consensus equilibrium. We show that this equilibrium is dependent on the interactive topology and the initial positions of the agents. A Lyapunov-based method and the input-to-state stability theory are used for the convergence analysis.

MAOIS

On Discrete-Time Convergence for General Linear Multi-agent Systems Under Dynamic Topology,requently enough. Moreover, a lower bound of the convergence rate and an upper bound for the strictly unstable mode are specified. These bounds are proven to be independent of the switching mode of the communication topologies.

appall

Distributed Consensus of Stochastic Delayed Multi-agent Systems Under Asynchronous Switching,ns for the existence of an asynchronously switched distributed controller are derived such that stochastic delayed multi-agent systems with asynchronous switching and nonlinear dynamics can achieve global exponential consensus. Two examples are given to illustrate the effectiveness of the proposed method.

occult

Real-Time Task Models, release patterns in a compact model, the parallel real-time task models that can describe the internal parallel workload structures, and the arrival curves in real-time calculus as a general workload representation.