نتایج جستجو برای: closed loop operation
تعداد نتایج: 433800 فیلتر نتایج به سال:
15. Supplementary Notes Project performed in cooperation with the Texas Department of Transportation and the Federal Highway Administration. Project Title: Reducing Traffic Congestion and Fuel Emission through a Minimal Cost, Self-Tuning Closed-Loop Progression System URL: http://tti.tamu.edu/documents/0-4729-2.pdf 16. Abstract Closed-loop systems are widely implemented in Texas arterials to p...
This paper proposes a closed-loop optimization framework to improve image coding efficiency by searching DCT coefficients at the equivalent subjective quality to original coding result. The proposed framework shares a basic idea currently adopted in speech coding that searches optimal codes in closed-loop operation, evaluating the coded signal with perceptually weighted mean square error. To ev...
15. Supplementary Notes Project performed in cooperation with the Texas Department of Transportation and the Federal Highway Administration. Project Title: Reducing Traffic Congestion and Fuel Emission through a Minimal Cost, Self-Tuning Closed-Loop Progression System 16. Abstract Closed-loop systems are widely implemented in Texas arterials to provide efficient operation of arterial intersect...
Dear Editor, This letter proposes a robust control strategy for the autonomous landing of quadrotor on moving target. Specifically, force command that consists cascade dynamics estimator and an optimal guaranteed cost law is exploited position-loop tracking. Then, orientation constraint torque employed attitude-loop tracking such refrains from flipping during operation. Stability analysis indic...
In this work, we focus on a class of nonlinear systems and design an estimator-based economic model predictive control (MPC) system which is capable of optimizing closed-loop performance with respect to general economic considerations taken into account in the construction of the cost function.Workingwith the class of full-state feedback linearizable nonlinear systems, we use a high-gain observ...
A nonlinear model predictive control (NMPC) algorithm based on neural network is designed for boiler- turbine system. The boiler–turbine system presents a challenging control problem owing to its severe nonlinearity over a wide operation range, tight operating constraints on control move and strong coupling among variables. The nonlinear system is identified by MLP neural network and neur...
Indirect methods for identification of linear plant models on the basis of closed-loop data are based on the use of (reconstructed) input signals that are uncorrelated with the noise. This generally requires exact (linear) controller knowledge. On the other hand, direct identification requires exact plant and noise modelling (system in the model set) in order to achieve accurate results, althou...
In this paper the explicit (closed form) solutions to several application-motivated parabolic problems are presented. The boundary stabilization problem is converted to a problem of solving a specific linear hyperbolic partial differential equation (PDE). This PDE is then solved for several particular cases. Closed loop solutions to the original parabolic problem are also found explicitly. Outp...
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