We have investigated the nanopatterning of chemical vapor deposited (CVD) diamond films in room-temperature nanoimprint lithography (RT-NIL), using a diamond nanodot mold. We have proposed the use of polysiloxane as a...
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We have investigated the nanopatterning of chemical vapor deposited (CVD) diamond films in room-temperature nanoimprint lithography (RT-NIL), using a diamond nanodot mold. We have proposed the use of polysiloxane as an electron beam (EB) mask and RT-imprint resist materials. The diamond molds of cylinder dot using the RT-NIL process were fabricated with polysiloxane oxide mask in EB lithography technology. The dot in minimum diameter is 500 nm. The pitch between the dots is 2 μm, and dot has a height of about 600 nm. It was found that the optimum imprinting conditions for the RT-NIL : time from spin-coating to imprinting t1 of 1 min , pressure time t2 of 5 min, imprinting pressure P of 0.5 MPa. The imprint depth obtained after the press under their conditions was 500 nm. We carried out the RT-NIL process for the fabrication of diamond nanopit arrays, using the diamond nanodot molds that we developed. The resulting diamond nanopit arrays with 500 nm-diameter and 200 nm-depth after the electron cyclotron resonance (ECR) oxygen ion beam etching were fabricated. The diameter of diamond nanopit arrays was in good agreement with that of the diamond nanodot mold.
In this paper, the problem of designing of robust state-feedback H ∞ controller for uncertain sampled-data controlsystems with output constraints have been investigated base on jump system model of sampled-data sys...
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In this paper, the problem of designing of robust state-feedback H ∞ controller for uncertain sampled-data controlsystems with output constraints have been investigated base on jump system model of sampled-data system using constant Lyapunov function (CLF) approach. The online algorithm of the H ∞ receding horizon optimization design for the norm-bounded parametric uncertain system is proposed. The optimal state-feedback H ∞ controllers are obtained and these controller can provide a performance tradeoff with respect to output constraints, i.e., the control strategy offers the capability of relaxing the performance level automatically in order to obey output constraints in the case of a larger disturbance. When the disturbance is restored to a usual situation, this control strategy can also improve the performance of system automatically.
The Common Spatial Patterns (CSP) algorithm is useful for calculating spatial filters for detecting event-related desynchronization (ERD) for use in ERD-based brain-computer interfaces (BCIs). However, basic CSP is a ...
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The Common Spatial Patterns (CSP) algorithm is useful for calculating spatial filters for detecting event-related desynchronization (ERD) for use in ERD-based brain-computer interfaces (BCIs). However, basic CSP is a supervised algorithm suited only to two-class discrimination; it is unable to solve multiclass discrimination problems. This paper proposes a new method named the binary common spatial patterns (BCSP) algorithm to extend the basic CSP method to multi-class recognition. Our method arranges the spatial filters and Fisher classifiers in the form of a binary tree whereby N - 1 spatial filters and N - 1 Fisher classifiers are calculated for N class recognition. This is fewer than must be calculated in other methods (e.g. one-versus-rest, OVR). This makes the overall classification procedure less redundant. Simulation results show that BCSP has better performance than the OVR scheme and outperforms the three best teams in the 2008 BCI-competition.
Ramp metering is an effective tool for traffic management on freeway networks. In this paper, we apply iterative learning control (ILC) to address ramp metering in a macroscopic-level freeway environment. By formulati...
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Ramp metering is an effective tool for traffic management on freeway networks. In this paper, we apply iterative learning control (ILC) to address ramp metering in a macroscopic-level freeway environment. By formulating the original ramp metering problem as an output regulating and disturbance rejection problem, ILC has been applied to control the traffic response. The learning mechanism is further combined with Asservissement Linéaire d'Entrée Autoroutière (ALINEA) in a complementary manner to achieve the desired control performance. The ILC-based ramp metering strategy and the modified modularized ramp metering approach based on ILC and ALINEA in the presence of input constraints are also analyzed to highlight the advantages and the robustness of the proposed methods. Extensive simulations are given to verify the effectiveness of the proposed approaches.
The control Lyapunov function(CLF) is a powerful tool for the analysis and design of stabilizing control for general nonlinear controlsystems. However, there is no general method for design of CLFs. This paper shows ...
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ISBN:
(纸本)9784907764388
The control Lyapunov function(CLF) is a powerful tool for the analysis and design of stabilizing control for general nonlinear controlsystems. However, there is no general method for design of CLFs. This paper shows a search algorithm for a CLF by using a radial basis function network in order to design a stabilizing control for 1-input affine control system.
In supervisor synthesis achieving nonblockingness is a major computational challenge for a large system. In the literature several automaton-based distributed synthesis approaches have been proposed, in which the plan...
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ISBN:
(纸本)9781612848006
In supervisor synthesis achieving nonblockingness is a major computational challenge for a large system. In the literature several automaton-based distributed synthesis approaches have been proposed, in which the plant is modeled by a collection of nondeterministic finite-state automata and the requirement and the final distributed supervisor are modeled by a collection of deterministic finite-state automata. In this paper we provide a sufficient condition, which guarantees maximal permissiveness of the synthesized distributed supervisor.
This paper is concerned with the problem of robust passive control for uncertain nonlinear neutral system with mode-dependent time delays and Markovian jump parameters. First, novel robust stability criterion is inves...
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In a general nonlinear control system a stabilizing control strategy is often possible if complete information on external inputs affecting the system is available. Assuming that measurements of persistent disturbance...
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In this paper, it is applied a method for parameter estimation of ship linear maneuvering models with a standard zig-zag maneuver. The parameter estimation is made based on prediction error methods, using the Kalman f...
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In this paper, it is applied a method for parameter estimation of ship linear maneuvering models with a standard zig-zag maneuver. The parameter estimation is made based on prediction error methods, using the Kalman filter for the states estimation. It is suggested two cases of study: one in simulation and another one with data acquired in open waters. Thus, it is posible to quantify the statistical properties of the estimator by means of Monte Carlo simulation and to validate the model with simulated and acquired data.
Stability analysis for a class of switched nonlinear systems is addressed in this paper. Two linear matrix inequality (LMI) based sufficient conditions for asymptotic stability are proposed for switched nonlinear syst...
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