We report the first experimental demonstration of one-way Gaussian-modulated coherent state quantum key distribution system over kilometers of standard telecom fiber. Under realistic assumptions, the achievable secret...
详细信息
作者：
M.H. MoradiM.R. KatebiM.A. JohnsonDepartment of Electronic and Electrical Engineering
University of Strath-clyde Glasgow GI 1QE UK. Dr. Moradi is a Lecturer in the Department of Electronic and Electrical Engineering
University of Bu-Ali Sina in Iran. He obtained the BSc and MSc in 1991 and 1993 from the Sharif University of Technology and Tarbiat Modarres University respectively. Dr. Moradi joined the Bu-Ali Sina University in 1993. In 2002 he obtained his PhD degree from the University of Strath-clyde Glasgow Scotland. His theoretical research interests include predictive PID control advanced classical control generalised predictive control system identification and fault monitoring robust control design computer networks and more recently control through networks. His industrial interests are in the areas of large-scale systems especially power systems and power plant modelling and control supervisory control and process control. Dr. Moradi has published a number of Journal and Conference papers. Dr. Katebi is a senior lecturer in the Department of Electronic and Electrical Engineering
University of Strathclyde. His theoretical research interests are currently focused on Non-linear Control and Filtering for Complex Systems Autonomous Control Design System integration and Fault monitoring and Reconfiguration Plant Monitoring through the Internet Discrete Event Simulation Process Optimisation and Robust Control Design. The industrial research interests are in the area of Hot and Rolling for Steel and Aluminium Power Plant Modelling and Control Marine Control Systems Process Control and Wastewater Treatment Control. Dr Katebi is the author/co-author of four books and more than 150 papers and industrial reports. Professor Johnson's academic education began at Coventry University (1969) and continued under the supervision of Professor Greyham Bryant in the field of Control Systems at Imperial College
London. He obtained the DIC MSc and PhD from Imperial College leaving for industry in 1978. Subsequent experience was in the
This paper is concerned with the design of Multi-Inputs and Multi-Outputs (MIMO) predictive PID controllers, which have similar performance to that obtainable from model-based predictive controllers. A new PID control...
详细信息
This paper is concerned with the design of Multi-Inputs and Multi-Outputs (MIMO) predictive PID controllers, which have similar performance to that obtainable from model-based predictive controllers. A new PID control structure is defined which incorporates the prediction of future outputs and uses future set point. A method is proposed to calculate the optimal values of the PID gains from generalised predictive control results. A decentralized version of the predictive PID controllers is presented and the stability of the closed loop system is studied. Simulation studies demonstrate the superior performance of the proposed controller compared with a conventional PID controller. The results are also compared with generalised predictive control solutions.
Advanced design aims to achieve the best possible performance subject to operational constraints. Such questions can be formulated as optimization problems. The advantages of using an explicit optimization formulation...
详细信息
Advanced design aims to achieve the best possible performance subject to operational constraints. Such questions can be formulated as optimization problems. The advantages of using an explicit optimization formulation include clear articulation of performance trade-offs and the provision of a clear basis for quantitative comparison of different strategies. In this paper we will briefly review aspects of modern optimization. We will also show how these tools can be deployed in scheduling, estimation and control. We will illustrate the ideas by examples drawn from the mining, mineral and metal processing field.
A ZnO photoconductive UV detector is fabricated on ZnO film grown by MOCVD based on Al/Au interdigital electrode. Nonalloyed Al/Au metallization scheme forms good ohmic contact on n-type ZnO. The dark and photoillumin...
详细信息
A ZnO photoconductive UV detector is fabricated on ZnO film grown by MOCVD based on Al/Au interdigital electrode. Nonalloyed Al/Au metallization scheme forms good ohmic contact on n-type ZnO. The dark and photoilluminated currents increase linearly with bias voltage. The cutoff wavelength of the detector is 368 nm, and it is also in response to the blue and green light. XPS analysis shows that there are oxygen vacancy and zinc interstitial in the ZnO film, and the nonstoichiometric ZnO film has influence on the photoresponse time of the detector.
This paper presents a new assist control method for the positioning task of master-slave manipulators. The considered manipulator has a flexible slave arm, which causes deterioration of both the positioning accuracy a...
详细信息
This paper presents a new assist control method for the positioning task of master-slave manipulators. The considered manipulator has a flexible slave arm, which causes deterioration of both the positioning accuracy and the maneuverability owing to elastic vibration of the slave arm. In order to improve the positioning accuracy and reduce operator's load, an assist control method is proposed by partly applying direct feedback of the acceleration of the tip of the slave arm to the bilateral control. The features of the proposed assist control are (1) the autonomic suppression control of the vibration, (2) the switching of controllers corresponding to task process, and (3) the force feedback of vibration information to an operator. Both the maneuverability and the operating feeling are evaluated on the basis of the success time of the task and by using the SD (Semantic Differential) method with the principle component analysis. The experimental results show the effectiveness of the proposed assist control method.
Increasing demand for improved reliability and survivability of mission-critical systems is driving the development of health monitoring and Automated Contingency Management (ACM) systems. An ACM system is expected to...
详细信息
Aiming at the problem that the particle swarm optimization is difficult to deal with local convergence and premature problem, a hybrid computational algorithm based on an improved simplex method and particle swarm opt...
详细信息
ISBN:
(纸本)7810778021
Aiming at the problem that the particle swarm optimization is difficult to deal with local convergence and premature problem, a hybrid computational algorithm based on an improved simplex method and particle swarm optimization has been presented in this paper. In the given hybrid algorithm the improved simplex method which has expansion function and contraction function is embedded in the particle swarm optimization as an operator. Using this improved simplex method with certain probability, simplex searching for the optimization is implemented, to elitist particles .that passed through the particle swarm optimization. one time, which can induce the evolution of the swarm rapidly. The experimental results show that this new algorithm,not only improves the global optimization performance, but also quickens the convergence speed *** robust results with good quality, which indicates this new algorithm is an effective approach for solving global optimization problems.
This paper studies robust performance analysis of H2H ∞ control problem in time-varying systems. In the case where the state-space matrices of the system depend afflnely on the uncertain parameters, it is known that ...
详细信息
An efficient target detection algorithm for infrared sequence image with sea-sky background is presented. For the big none-Gaussian noises and the none-linear movement of the target, the algorithm is established mainl...
详细信息
An efficient target detection algorithm for infrared sequence image with sea-sky background is presented. For the big none-Gaussian noises and the none-linear movement of the target, the algorithm is established mainly on the basis of the sequential Monte Carlo (SMC) method. The algorithm uses the statistic values of the target's feature image to change the weight of the particles which are produced by Monte Carlo sampling, and the target is detected and tracked based on the control of these weights. The difference image is used as the feature image. The experimental results demonstrate the effectiveness and real-time efficient of the algorithm.
暂无评论