By using stochastic stability theory and a previously designed Lyapunov controller, pth moment practical stability of the networked control system (NCS) is discussed, and a sufficient condition guaranteeing the practical stability of the closed-loop system is provided.
Furthermore, it is used in the sampled-data case in order to guarantee (locally) the practical stabilization to a bounded ellipsoid containing the origin.
Furthermore, some effective parameters are introduced such that the obtained results can guarantee that the practical output tracking performance can be realized via easily tuning the controller design parameters.
To guarantee the activity and reliability under practical conditions the education of healthcare workers in the application of efficient hand disinfectants is a key point.
To discuss some practical situations that guarantee the fulfilment of the condition (2.18), let us define the following subsets of, as a union of disjoint components associated with some proper or improper subset of the class of primary functions being active to build each on some nonempty subset of the subset of : (2.24).
Using a suitable Lyapunov function, we obtain some simple and practical sufficient conditions which guarantee the complex projective synchronization in drive-response stochastic switching networks with complex-variable systems.
In practical situations, however, the controller has to be designed to guarantee the closed-loop system to achieve stability.
Most algorithms are, therefore, heuristic, but algorithms that guarantee the convergence to at least local maximizers of the scoring functions, and are practical, have been developed.
By considering the uncertain disturbances to the train operation, a robust train regulation strategy that guarantees that the practical train timetable tracks the nominal timetable with a disturbance attenuation level is designed, and the total delays of the trains at each station are reduced.
