A high-order sliding-mode observer is designed for linear time invariant systems with bounded unknown inputs, providing for the global observation of the state and the inputs under sufficient and necessary conditions ...
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ISBN:
(纸本)1424401704;9781424401703
A high-order sliding-mode observer is designed for linear time invariant systems with bounded unknown inputs, providing for the global observation of the state and the inputs under sufficient and necessary conditions of strong observability or strong detectability. The observation is finite-time-convergent and exact in the strong observability case. The accuracy of the proposed observation and identification schemes is estimated via the sampling step or magnitude of deterministic noises
The electronic properties of single-walled carbon nanotubes (SWNTs) are altered by intertube coupling whenever bundles are formed. These effects are examined experimentally by applying Rayleigh scattering spectroscopy...
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The electronic properties of single-walled carbon nanotubes (SWNTs) are altered by intertube coupling whenever bundles are formed. These effects are examined experimentally by applying Rayleigh scattering spectroscopy to probe the optical transitions of given individual SWNTs in their isolated and bundled forms. The transition energies of SWNTs are observed to undergo redshifts of tens of meVs upon bundling with other SWNTs. These intertube coupling effects can be understood as arising from the mutual dielectric screening of SWNTs in a bundle.
In this paper we consider distributed parameter physical systems composed of a reversible part associated with a skew-symmetric operator J as Hamiltonian systems (Olver, 1993) and a symmetric operator associated with ...
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In this paper we consider distributed parameter physical systems composed of a reversible part associated with a skew-symmetric operator J as Hamiltonian systems (Olver, 1993) and a symmetric operator associated with some irreversible phenomena. We will show how to use results obtained on reversible systems to parametrize the boundary conditions such that the solution of the associated PDE is contractive. The theoretical results are applied to the example of a tubular reactor with first order chemical reaction. The obtained parametrization is compared with the classical Dankwert conditions
Femtosecond laser ablation of Silicon (100) with thermal oxide thin films was studied in order to further understand the ablative properties of thin films and to evaluate their influence on the ablation of the substra...
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In this paper we model the tomography of scale-free networks by studying the structure of layers around an arbitrary network node. We find, both analytically and empirically, that the distance distribution of all node...
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In this paper we model the tomography of scale-free networks by studying the structure of layers around an arbitrary network node. We find, both analytically and empirically, that the distance distribution of all nodes from a specific network node consists of two regimes. The first is characterized by rapid growth, and the second decays exponentially. We also show analytically that the nodes degree distribution at each layer exhibits a power-law tail with an exponential cutoff. We obtain similar empirical results for the layers surrounding the root of shortest path trees cut from such networks, as well as the Internet.
A control scheme for highway tunnels is proposed based on a static model of the highway tunnel. The controller is designed to keep the exhaust levels inside the tunnel below given limits. The controller is derived in ...
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A control scheme for highway tunnels is proposed based on a static model of the highway tunnel. The controller is designed to keep the exhaust levels inside the tunnel below given limits. The controller is derived in two stages. First, a controller for an isolated ventilation section is found. Then a controller for a complex tunnel is obtained and the control is optimized by means of linear programming. The control is then simulated on a dynamical model of a highway tunnel.
In recent years, a large number of nonlinear optimal control problems have been solved by pseudospectral (PS) methods. In an effort to better understand the PS approach to solving control problems, we present converge...
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ISBN:
(纸本)1424401704;9781424401703
In recent years, a large number of nonlinear optimal control problems have been solved by pseudospectral (PS) methods. In an effort to better understand the PS approach to solving control problems, we present convergence results for problems with mixed state and control constraints. A set of sufficient conditions are proved under which the solution of the discretized optimal control problem converges to the continuous solution. Conditions for the convergence of the duals are described and illustrated. This leads to a clarification of covector mapping theorem and its connections to constraint qualifications
Extended sufficient conditions for the observation of linear time invariant systems with unknown inputs are formulated. A new observation scheme is proposed. An additional linear term ensuring global stability is incl...
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Extended sufficient conditions for the observation of linear time invariant systems with unknown inputs are formulated. A new observation scheme is proposed. An additional linear term ensuring global stability is included for this sake in the differentiation algorithm based on high-order sliding-modes. The global robust finite-time-convergent estimation of observable states and unknown inputs is obtained, exact in the absence of measurement noises. Under the detectability conditions the whole state is asymptotically estimated. The accuracy of the estimation in the presence of bounded deterministic Lebesgue-measurable noises and discrete sampling is worked out
In this work we take a control-theoretic approach to feedback-based dynamic voltage scaling (DVS) in multi processor system on chip (MPSoC) pipelined architectures. We present and discuss a novel feedback approach bas...
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ISBN:
(纸本)9783981080100
In this work we take a control-theoretic approach to feedback-based dynamic voltage scaling (DVS) in multi processor system on chip (MPSoC) pipelined architectures. We present and discuss a novel feedback approach based on both linear and non-linear techniques aimed at controlling interprocessor queue occupancy. Theoretical analysis and experiments, carried out on a cycle-accurate multiprocessor simulation platform, show that feedback-based control reduces energy consumption with respect to standard local DVS policies and highlight that non-linear strategies allows a more flexible and robust implementation in presence of variable workload conditions
In this work we take a control theoretic approach to the dynamic voltage/frequency scaling (DVS) in a MPSoC architecture with mixed pipelined/parallel processing. The aim is that of minimizing energy consumption with ...
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In this work we take a control theoretic approach to the dynamic voltage/frequency scaling (DVS) in a MPSoC architecture with mixed pipelined/parallel processing. The aim is that of minimizing energy consumption with throughput guarantees. Theoretical analysis and experiments, carried out on a cycle-accurate, energy-aware, multiprocessor simulation platform, are provided. We give a dynamic model of the system behavior on the basis of which we synthesize a non-linear feedback controller for the run-time adjustment the frequencies of the processing stages. We compare, from an energy consumption viewpoint, the proposed feedback approaches with local DVS policies.
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