Distributed sensor networks (DSNs) are being developed for a wide range of applications. A sensor networks consist of a large number of nodes performing distributed sensing/event detection. Sensor nodes are energy-con...
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Distributed sensor networks (DSNs) are being developed for a wide range of applications. A sensor networks consist of a large number of nodes performing distributed sensing/event detection. Sensor nodes are energy-constrained, efficient routing is essential for increasing the lifetime of a sensor network. A DSN requires interoperability, low latency, and low power consumption in order to operate for long periods of time. Due to power constraints, DSN should be able to operate at low data rates and still delivering acceptable quality of service. In a DSN the energy required for communications tasks is usually much greater than the energy required for computational tasks. To reduce the data communication between nodes and to maximize the network lifetime, we propose to use the mobile-agent paradigm. In mobile-agent based DSN9 instead of moving data from an individual sensor node to a processing center as in the client-server based computing, mobile agents are dispatched from the processing center to the sensor nodes and process data locally. By moving code to the data, a mobile agent can reduce latency, bandwidth and vulnerability to network disconnection.
Robust asymptotic stability for hybrid systems is considered. For this purpose, a generalized solution concept is developed. The first step is to characterize a hybrid time domain that permits an efficient description...
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This paper proposes an Adaptive Critic Based Neuro-Fuzzy controller (ACBNFC) to Thyristor controlled Series Capacitor (TCSC), which might have a significant impact on power system dynamics. The function of the ACBNFC ...
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Robust asymptotic stability for hybrid systems is considered. For this purpose, a generalized solution concept is developed. The first step is to characterize a hybrid time domain that permits an efficient description...
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Robust asymptotic stability for hybrid systems is considered. For this purpose, a generalized solution concept is developed. The first step is to characterize a hybrid time domain that permits an efficient description of the convergence of a sequence of solutions. Graph convergence is used. Then a generalized solution definition is given that leads to continuity with respect to initial conditions and perturbations of the system data. This property enables new results on necessary conditions for asymptotic stability in hybrid systems.
The rapid growth of the Internet and increased desmand to use the Internet for voice and video applications necessitate the design and utilization of new Internet architectures with effective congestion control algori...
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Using unbounded time-varying scaling of the states we design C/sup 1/ feedback laws for power integrator triangular systems which globally asymptotically stabilize (GAS) the origin despite the uncontrollability of the...
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Using unbounded time-varying scaling of the states we design C/sup 1/ feedback laws for power integrator triangular systems which globally asymptotically stabilize (GAS) the origin despite the uncontrollability of the linearization. With bounded scaling the feedback laws achieve global practical stability (GPS). For a trade-off between GAS/GPS of the origin and unboundedness/boundedness of the scaling we construct a dynamic version of these feedback laws.
This paper provides a model predictive approach to control switched reluctance motors (SRM's). A local linear neuro-fuzzy model is used to model SRM. Then a predictive control schema is devised considering an appr...
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In this paper a model reference variable structure controller (VSC) for an active suspension system is designed. A half vehicle model is used in which, the vertical and pitch motions of the mass supported by the suspe...
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In the practical path-following problem formulated in this paper, it is required that the error between the system output and the desired geometric path be less then any prespecified constant. If in a nonlinear MIMO s...
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In the practical path-following problem formulated in this paper, it is required that the error between the system output and the desired geometric path be less then any prespecified constant. If in a nonlinear MIMO system the output derivatives do not enter the zero dynamics, a geometric condition on the path is given under which a solution to this problem exists. The solution is obtained by combining input-to-state stability and switched-system methodology.
We present robust stability results for discrete-time nonlinear systems using certainty equivalence output feedback, particularly those that employ a model predictive control (MPC) formulation to generate the feedback...
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We present robust stability results for discrete-time nonlinear systems using certainty equivalence output feedback, particularly those that employ a model predictive control (MPC) formulation to generate the feedback control law. To this end, we discuss nominal robustness properties of general discrete-time nonlinear systems, including those that use discontinuous control laws in the feedback loop. This is important for systems employing MPC since the method can, and sometimes necessarily does, result in discontinuous control laws. Coupling assumptions of nominal robustness with certain uniform observability or detectability assumptions (for each of which we give an observer), we assert that, in particular, MPC is robustly globally asymptotically stabilizing when used in a certainty equivalence output feedback structure. Finally, we give an example to illuminate our results.
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