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Optimal Formation Reconfiguration control of Multiple UCAVs Using Improved Particle Swarm Optimization

Journal of Bionic engineering 2008年第4期5卷 340-347页

作者： Hai-bin Duan Guan-jun Ma De-lin Luo School of Automation Science and Electrical Engineering Beihang University Beijing 100191 P. R. China Provincial Key Laboratory for Information Processing Technology Suzhou University Suzhou 215006 P. R. China Center for Systems and Control Xiamen University Xiamen 361005 P. R. China

Optimal formation reconfiguration control of multiple Uninhabited Combat Air Vehicles （UCAVs） is a complicated global optimum problem. Particle Swarm Optimization （PSO） is a population based stochastic optimization technique inspired by social behaviour of bird flocking or fish schooling. PSO can achieve better results in a faster, cheaper way compared with other bio-inspired computational methods, and there are few parameters to adjust in PSO. In this paper, we propose an improved PSO model for solving the optimal formation reconfiguration control problem for multiple UCAVs. Firstly, the control Parameterization and Time Diseretization （CPTD） method is designed in detail. Then, the mutation strategy and a special mutation-escape operator are adopted in the improved PSO model to make particles explore the search space more efficiently. The proposed strategy can produce a large speed value dynamically according to the variation of the speed, which makes the algorithm explore the local and global minima thoroughly at the same time. Series experimental results demonstrate the feasibility and effectiveness of the proposed method in solving the optimal formation reconfiguration control problem for multiple UCAVs.

关键词： uninhabited combat air vehicles particle swarm optimization control parameterization and time discretization optimal formation reeonfiguration

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A Simple 'Linearized' Learning Algorithm which Outoerforms Back-Propagation

A Simple 'Linearized' Learning Algorithm which Outoerforms B...

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1992 International Joint Conference on Neural Networks, IJCNN 1992

作者： Délier, J.R. Hunt, S.D. Michigan State University Department of Electrical Engineering / 260 EB Control Systems and Signal Processing Group Speech Processing Laboratory East LansingMI48824-1226 United States

ISBN: (纸本)0780305590

A class of algorithms is presented for training multilayer perceptrons usmg purely "linear techniques. The methods are based upon linearizations of the network using error surface analysis, followed by a contemporary least squares estimation procedure. Specific algorithms are presented to estimate weights node-wise, layer-wise, and for estimating the entire set of network weights simultaneously. In several experimental studies, the node-wise method is superior to back-propagation and an alternative linearization method due to Azimi-Sadjadi et al. in terms of number of convergences and convergence rate. The layer and network-wise updating offer further improvement. © 1992 IEEE

关键词： Network layers

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Regional Leader-following Consensus of Multi-agent systems with Saturating Actuators 36

Regional Leader-following Consensus of Multi-agent Systems w...

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第36届中国控制会议

作者： Yuanlong Li Zongli Lin Department of Automation Shanghai Jiao Tong Universityand Key Laboratory of System Control and Information Processing of Ministry of Education Charles L.Brown Department of Electrical and Computer Engineering University of Virginia

ISBN: (纸本)9781538629185

For a linear system that has a pole in the open right-half plane and is subject to actuator saturation,global asymptotically stabilization cannot be *** a result,a multi-agent system containing such an actuator saturating agent can only reach regional consensus,that is,consensus can be achieved only when the initial state of each agent resides in a region of the state *** region of all these initial states is referred to as the domain of *** general,the domain of consensus cannot be exactly *** this paper,we consider the problem of estimating the domain of consensus of a multi-agent system with an agent subject to actuator saturation.A set of necessary and sufficient conditions under which an ellipsoidal set can be used as an estimate of the domain of consensus are *** on these conditions,an LMI-based optimization problem is formulated for obtaining the largest ellipsoidal estimate of the domain of *** results illustrate the effectiveness of the proposed approach and show the relationship between the size of the largest ellipsoidal estimate and the communication topology of the multi-agent system.

关键词： Multi-agent systems actuator saturation regional consensus domain of consensus

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Event-Triggered Global Leader-Following Consensus for Multi-agent systems with Bounded controls 36

Event-Triggered Global Leader-Following Consensus for Multi-...

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第36届中国控制会议

作者： Yijing Xie Zongli Lin Department of Automation and Key Laboratory of System Control and Information Processing of the Ministry of EducationShanghai Jiao Tong University Charles L.Brown Department of Electrical and Computer Engineering University of Virginia

ISBN: (纸本)9781538629185

This paper studies the global leader-following consensus problem for a multi-agent system using event-triggered bounded *** the follower agents and the leader agent are described by a chain of integrators of an arbitrary *** event-triggered control law is constructed for each follower agent and an event-triggering strategy is designed for updating the control *** event-triggered control laws are shown to achieve global leader-following consensus when the communication topology among the follower agents is connected and the leader is a neighbor of at least one follower *** absence of the Zeno behavior is established.A self-triggering strategy is also proposed to avoid continuous verification of the triggering *** results are given to illustrate the theoretical results.

关键词： Multi-agent systems event-triggered control self-triggering strategy bounded controls leader-following consensus

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8th International Symposium on Multiple-Valued Logic, MVL 1978

作者： Atkins, D.E. Program in Computer Information and Control Engineering Systems Engineering Laboratory Department of Electrical and Computer Engineering University of Michigan Ann ArborMI48109 United States

An approach to the topic of computer arithmetic is suggested which may have a particular conceptual, pedagodical, and practical appeal to the designer of multiple-valued logic processors. Computer arithmetic deals with the physical representation of finite sets of numbers and the design, analysis, and implementation of algorithms for mechanizing arithmetic operations on these sets. Finite number representation systems (FNRS) are specified by defining a set of symbols and a mapping from the elements of this symbol set to a subset of the real numbers. A formal definition of a FNRS provides a basis for a set of definitions which in turn provide the framework for the classification of a large set of number systems. Emphasis in this paper is on the following positive, fixed radix systems: unsigned, sign and magnitude, radix complement, and diminished radix complement. We offer an annotated listing of primitive digit vector algorithms for the four common number representation systems with an arbitrary, positive integer, fixed radix. These digit vector algorithms are ones which the designer of multi-valued logic arithmetic processors will need to implement to provide general arithmetic computation. © 1978 Advanced Automotive Batteries. All rights reserved.

关键词： Numbering systems

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Overview of an arithmetic design system

Overview of an arithmetic design system

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DAC 1981 - the 18th Design Automation Conference

作者： Atkins, D.E. Liu, W. Ong, S. Systems Engineering Laboratory Department of Electrical and Computer Engineering Program in Computer Information and Control Engineering University of Michigan Ann ArborMI48109 United States

This paper describes an evolving Arithmetic Design System (ADS) to support the quantitative evaluation of alternate number systems with respect to a given application and realization technology. A finite number system is a tuple consisting of a symbol set (elements are called "digit-vectors"), an interpretation set, a mapping between these two sets, and a set of operators ("digit-vector algorithms") defined on the symbol set. A set of these digit vector algorithms are proposed for conducting arithmetic design and for computing time and space complexity of compositions of these algorithms. Once a transition has been made from arithmetic design to logic design, a sub-system of the ADS provides a estimate of time and space complexity with respect to a PLA-base of implementation. © Institute of electrical and Electronics Engineers Inc. All rights reserved.

关键词： Numbering systems

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Online Optimization in Power systems With High Penetration of Renewable Generation:Advances and Prospects

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IEEE/CAA Journal of Automatica Sinica 2023年第4期10卷 839-858页

作者： Zhaojian Wang Wei Wei John Zhen Fu Pang Feng Liu Bo Yang Xinping Guan Shengwei Mei Key Laboratory of System Control and Information Processing Ministry of Education of ChinaDepartment of AutomationShanghai Jiao Tong UniversityShanghai 200240China State Key Laboratory of Power System and the Department of Electrical Engineering Tsinghua UniversityBeijing 100084China Institute of High Performance Computing(IHPC) Agency for Science Technology and Research(A*STAR)Singapore 138632Singapore

Traditionally,offline optimization of power systems is acceptable due to the largely predictable loads and reliable *** increasing penetration of fluctuating renewable generation and internet-of-things devices allowing for fine-grained controllability of loads have led to the diminishing applicability of offline optimization in the power systems domain,and have redirected attention to online optimization ***,online optimization is a broad topic that can be applied in and motivated by different settings,operated on different time scales,and built on different theoretical *** paper reviews the various types of online optimization techniques used in the power systems domain and aims to make clear the distinction between the most common techniques *** particular,we introduce and compare four distinct techniques used covering the breadth of online optimization techniques used in the power systems domain,i.e.,optimization-guided dynamic control,feedback optimization for single-period problems,Lyapunov-based optimization,and online convex optimization techniques for multi-period ***,we recommend some potential future directions for online optimization in the power systems domain.

关键词： optimization Lyapunov optimization online convex optimization online optimization optimization-guided control

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Multi-sensor Adaptive Data Fusion with Colored Measurement Noise 29

Multi-sensor Adaptive Data Fusion with Colored Measurement N...

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第29届中国控制与决策会议

作者： Yao Wu Meng Cai Jianxun LI School of Electronic Information and Electrical Engineering Shanghai Jiao Tong University Key Laboratory of System Control and Information Processing Ministry of Education of China Satellite Marine Tracking & Control Department of China Luoyang Institute of Electro-optical Equipment AVIC

ISBN: (纸本)9781509046584

As one of the key theories of target tracking,Multi-sensor data fusion(MSDF) is widely utilized in engineering ***,the research of MSDF is under the hypothesis that the measurement systems of sensors are only influenced by white noise and their priori knowledge is obtained,which is not appropriate for practical *** these situations,a white noise model convention and adaptive measurement noise adjustment is added into the two proposed fusion methods called centralized measurement fusion(CMF) and decentralized state fusion(DSF).The equations of fusion estimation results are derived both with and without white noise *** method of adaptive covariance adjustment based on artificial neural network(ANN) is *** simulation results show that the measurement model is estimated more precisely by denoting the colored noise with white noise,the adaptive variance adjustment method contributes to overcoming the priori information deficiency of noise and keep the tracking precision,and the DSF has higher tracking accuracy than the local filter based on each sensor but lower than the CMF.

关键词： Multi-sensor data fusion Target tracking Colored measurement noise Centralized measurement fusion Decentralized state fusion Adaptive weighting

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Identification of Thrust, Lift, and Drag for Deep-stall Flight Data of a Fixed-wing Unmanned Aircraft

Identification of Thrust, Lift, and Drag for Deep-stall Flig...

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2018 International Conference on Unmanned Aircraft systems, ICUAS 2018

作者： Cunis, Torbjorn Leth, Tobias Totu, Luminita C. Cour-Harbo, Anders La Department of Information Processing and Systems ONERA - the French Aerospace Lab Toulouse31055 France Department of Electrical Engineering Automation Control University of Aalborg Aalborg East9220 Denmark

ISBN: (纸本)9781538613535

In this paper, we consider a small unmanned aircraft and data collected during regular and deep-stall flight. We present an identification method for the thrust force generated by the propulsion system based on the in-flight measurements where we make use of the well-known linear and quadratic approximations of the lift and drag coefficients, respectively, for low angles of attack. This overcomes the lack of propeller thrust measurements and the obtained models are successfully evaluated against CFD simulation. The identified thrust model proves applicable beyond low angles of attack, thus enabling force estimation in the full flight envelope. © 2018 IEEE.

关键词： Unmanned aerial vehicles (UAV)

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A novel approach to automatic music composing: Using genetic algorithm

A novel approach to automatic music composing: Using genetic...

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International Computer Music Conference, ICMC 2006

作者： Zad, Damon Daylamani Araabi, Babak N. Lucas, Caru Department of Information Systems and Computing Brunel University United Kingdom Dept. of Electrical and Computer Engineering Control and Intelligent Processing Center of Excellence University of Tehran Iran

Artificial music composition is one of the ever rising problems of computer science. Genetic Algorithm has been one of the most useful means in our hands to solve optimization problems. By use of precise assumptions and adequate fitness function it is possible to change the music composing into an optimization problem. This paper proposes a new genetic algorithm for composing music. Considering entropy of the notes distribution as a factor of fitness function and developing mutation and crossover functions based on harmonic rules and trying to keep the melodies intact during these processes would result in a musical piece pleasant to human ears and interesting for human mind. This algorithm does not have the constraints of the previous algorithms. Restraining mutation and crossover functions with a goal of producing melodies based on acceptable melodies composed by humans, this algorithm is not bound to any genre, instrument or melody. The experimental results of this approach show that it is near to the human composing and the results produced from it are more acceptable than the ones produced by its predecessors.

关键词： Genetic algorithms

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