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检索条件"主题词=Optimization algorithms"

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Approximate Optimal Control of Nonlinear Systems with Quadratic Performance Criteria

Approximate Optimal Control of Nonlinear Systems with Quadra...

引用

American Control Conference

作者： Robert A. E. Zidek Ilya V. Kolmanovsky Department of Aerospace Engineering University of Michigan Ann Arbor MI 48109 USA

ISBN: (纸本)9781479917730

A method is presented that approximates the solution to a nonlinear optimal control problem with quadratic cost function. We assume that the nonlinear system is accurately represented by a high-fidelity (hf) model which can be of high complexity or even of "black-box" type. The hf-model is oftentimes unsuitable for solving the optimal control problem. The proposed solution method is based on an Iterative Model and Trajectory Refinement (IMTR) strategy that uses a low-fidelity (lf) model to solve the optimal control problem. The lf-model is obtained through linearization of the hf-model, where the linearization point is variable by the optimization algorithm. The method is demonstrated for two problems of orbital transfer and of underactuated spacecraft attitude control with two reaction wheels. In both examples the solutions are shown to be in good agreement with the optimal solutions obtained by solving the respective nonlinear two-point-boundary value problem.

关键词： Optimal control reaction wheels nonlinear optimal control space vehicle attitude control TRANSFER ORBITS Linearization Performance metrics Quadratic optimal solution optimization algorithms

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Reconfigurable Antenna Design optimization Based on Improved Quantum Genetic Algorithm 31

Reconfigurable Antenna Design Optimization Based on Improved...

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29th URSI General Assembly and Scientific Symposium (URSI GASS)

作者： Chen, Guohu Jiang, Hua Lei, Xue Zhengzhou Informat Sci & Technol Inst Zhengzhou 450002 Peoples R China

ISBN: (纸本)9781467352253

A practical reconfigurable antenna (RA), usually equipped with multiple switches, has a high real-time requirement for the optimization algorithm. In this paper, an improved quantum genetic algorithm (IQGA) is proposed to deal with the optimization problem of the RA. The algorithm codes the chromosome with probability amplitudes represented by sine and cosine functions, and uses an adaptive strategy of the rotation angle to update the population. Then the mutation operation is considered in this improved quantum genetic algorithm. By using the IQGA combined with hybrid full-wave/ network analysis approach, the fast optimization design for the reconfigurable antenna is realized. Simulation results on the optimization of a 39-switch RA show that the proposed fast reconfigurable antenna design optimization method is superior performance.

关键词： Algorithm design and analysis Antennas Biological cells Genetic algorithms optimization Sociology Statistics Algorithm design and analysis Genetic Algorithm (GA) cytology ANTENNA Sociology Optimal design configurability antenna design optimization algorithms ROTATION ANGLE

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Necessary and Sufficient Stabilizing Conditions for Networked Control Systems with Simultaneous Transmission Delay and Packet Dropout

Necessary and Sufficient Stabilizing Conditions for Networke...

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IEEE Annual Conference on Decision and Control

作者： Cheng Tan Huanshui Zhang School of Control Science and Engineering Shandong University Jinan 250061 P. R. China

ISBN: (纸本)9781479978878

This paper investigates the mean-square stabilization problem for discrete-time networked control systems (NCSs). Different from most previous studies, we assume that transmission delay and packet dropout may occur simultaneously. The stabilization problem for such NCSs remains challenging because of the fundamental difficulty of stochastic control. The contributions of this paper are twofold. First, we present a necessary and sufficient condition for stabilizing the NCSs in terms of the unique positive solution to a specified algebraic equation. It is also shown that the NCS is stabilizable iff the generalized Lyapunov equation has a positive solution, which is in accordance with the classical result for a delay-free system. Second, we propose an optimization algorithm for computing the maximum packet dropout rate. The key technique adopted in this paper involves the Riccati-ZXL equation established in our earlier work.

关键词： Networked control systems Transport delay Necessary Packet optimization algorithms simultaneous transmission Lyapunov equation control systems Stabilising Sufficient

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Factory Planning Model of Aircraft Engine Transmission Parts based on the Genetic Annealing Algorithm

Factory Planning Model of Aircraft Engine Transmission Parts...

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International Conference on Computer Science and Network Technology

作者： Jie Jia Pei Qin China Aviation Planning and Design Institute(Group) Co. Ltd. Beijing 100120 China Aviation Planning and Design Institue (Group) Co. Ltd. Beijing 100120

ISBN: (纸本)9781467381741

According to the premature convergence and low searching efficiency of the standard simulated annealing algorithm in workshop planning applications, this paper proposes a factory planning model of aircraft engine transmission parts based on improved genetic algorithm optimized simulated annealing. First, the mechanism floatingpoint coding is referenced to arithmetic crossover operation for crossover operator of genetic algorithm, and then adaptive mutation operators are adopted to keep the diversity of population, and the global optimization of the algorithm is improved. Finally, transmission parts factory programming model is constructed according to the characteristic of aviation engine. The results showed that compared with simulated annealing algorithm, the genetic simulated annealing algorithm has good convergence in application to factory planning.

关键词： Aircraft engine transmission parts factory planning model simulated annealing algorithm improved genetic algorithm Aircraft engines simulated annealing algorithm Genetic Algorithm (GA) Industrial Plants optimization algorithms

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Optimal and least restrictive supervisory control: safety verification methods for human-driven vehicles at traffic intersections

Optimal and least restrictive supervisory control: safety ve...

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IEEE Annual Conference on Decision and Control

作者： Gabriel Rodrigues de Campos Fabio Della Rossa Alessandro Colombo DEIB at Politecnico di Milano Italy

ISBN: (纸本)9781479978878

We consider a cooperative conflict resolution problem at traffic intersections. Our goal is to design a least restrictive supervisor able to identify the optimal corrections to a human-decided input with respect to a given performance index, while keeping the system safe. Here, safety is formulated in terms of a maximal safe controlled invariant set. Leveraging results from scheduling theory, we characterize the preorder of the optimal solution set and propose an efficient optimization algorithm providing Pareto optimal solutions. We illustrate the application of the proposed algorithm through simulations in which vehicles crossing an intersection are optimally overridden by the supervisor only when necessary to maintain safety.

关键词： vehicle performance indicators Scheduling Theory Safety Verification Preorder Optimal Solution Set Supervisory control Conflict Resolution Supervisors Human Traffic optimal solution optimization algorithms

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The Computation of Full-complexity Polytopic Robust Control Invariant Sets

The Computation of Full-complexity Polytopic Robust Control ...

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IEEE Annual Conference on Decision and Control

作者： Chengyuan Liu Imad M. Jaimoukha Department of Electrical and Electronic Engineering Imperial College London SW7 2AZ UK

ISBN: (纸本)9781479978878

This paper considers the problem of evaluating robust control invariant (RCI) sets for linear discrete-time systems subject to state and input constraints as well as additive disturbances. An RCI set has the property that if the system state is inside the set at any one time, then it is guaranteed to remain in the set for all future times using a predefined state feedback control law. This problem is important in many control applications. We present a numerically efficient algorithm for the computation of full-complexity polytopic RCI sets. Farkas' Theorem is first used to derive necessary and sufficient conditions for the existence of an admissible polytopic RCI set in the form of nonlinear matrix inequalities. An Elimination Lemma is then used to derive sufficient conditions, in the form of linear matrix inequalities, for the existence of the solution. An optimization algorithm to approximate maximal RCI sets is also proposed. Numerical examples are given to illustrate the effectiveness of the proposed algorithm.

关键词： SETTING Sufficient conditions Robust control state feedback control Invariant linear matrix inequalities optimization algorithms

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Cloud-based Model Predictive Building Thermostatic Controls of Commercial Buildings: Algorithm and Implementation

Cloud-based Model Predictive Building Thermostatic Controls ...

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American Control Conference

作者： Emrah Biyik James D. Brooks Hullas Sehgal Jigar Shah Sahika Genc Department of Energy Systems Engineering Yasar University Izmir Turkey GE Global Research Niskayuna NY USA

ISBN: (纸本)9781479917730

The contribution of this paper is in two-folds: 1) If more predictive and intelligent control of the thermostat setpoints with no explicit models of Root Top Units (RTUs) yet with simplistic lumped parameter thermal models of buildings can be effective in reducing a small commercial buildings summer-time peak load while adequately maintaining comfort levels, and 2) how this simplistic indirect control approach to RTUs compare to more sophisticated direct control approaches in terms of peak-load reduction and cost. First, the model-predictive control approach is presented. Second, the results of cloud-based implementation of the optimization algorithm at the two demonstration commercial buildings owned by General Electric (GE), optimizer characteristics, different set point trajectories and their implication with regards to peak load and comfort, and observations are described. On average, the savings from the indirect optimal control strategy utilized in our approach through a cloud-based control implementation architecture is shown to be comparable to previously stated savings in literature from more sophisticated direct optimal control of RTUs while the comfort levels are the same as the non-optimal strategy or slightly better in some cases.

关键词： Comfort level commercial buildings maximum loads optimization algorithms Buildings Direct control Intelligent control COMFORT Optimal control

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Energy-Efficient MIMO Precoding and Power Allocation for Device-to-Device Underlay Communication in Cellular Networks

Energy-Efficient MIMO Precoding and Power Allocation for Dev...

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IEEE Vehicular Technology Conference

作者： Bo Chen Minjian Zhao Ming Lei Lei Zhang Department of Information Science and Electronic Engineering Zhejiang University Hangzhou China 310027

ISBN: (纸本)9781479980925

Multiple-input-multiple-output (MIMO) Device-to-Device (D2D) communication underlaying cellular networks can improve user throughout and extend battery life of user equipment. This paper studies MIMO precoding and power allocation schemes for the D2D and cellular uplink communications to improve the energy efficiency of both the D2D and the cellular user (CU). Due to the co-channel interference caused by the shared resources, the precoder design and power allocation of both the D2D transmitter (DTX) and the CU become highly inter-dependent. A distributed cooperative iterative optimization algorithm (DCIOA) is introduced, where either the DTX or the CU cooperatively exchanges the interference information and iteratively updates its optimum precoder and power level. Meanwhile, a centralized stochastic search optimization algorithm using the particle swarm optimization (PSO) method is applied to provide an upper bound. Simulation results show that the performance of the DCIOA is close to that of the centralized algorithm with significant reduction of computation and slight increment of exchange overhead.

关键词： Energy-Efficient D2D Communication MIMO Particle Swarm optimization Distributed Cooperative Iterative optimization Energy efficiency multiple input multiple output systems power splitting Cellular networks Particle swarm optimization Copper Device-to-device communication optimization algorithms prediction coding user facility Battery Life Communication Research Cochannel interference power level

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Multi-objective Design of a Magnetic Fluid Hyperthermia Device

Multi-objective Design of a Magnetic Fluid Hyperthermia Devi...

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Annual Conference of the IEEE Industrial Electronics Society

作者： R. Bertani M. Forzan P. Sgarbossa E. Sieni P. Di Barba F. Spizzo L. Del Bianco Dept. Industrial Engineering University of Padova Padova Italy

ISBN: (纸本)9781479917631

The paper presents the design of a new device to heat a magnetic nanofluid in-vivo. The optimal design of the device has been carried by coupling Finite Elements (FE) solutions and various multi-objective optimization algorithms based on Non-dominated Sorting Genetic algorithms (NSGA). The theoretical heating rate of the nanofluid, as resulting from the analytical solution that describes the heating rate in adiabatic conditions, is compared to the one calculated in a FE model that takes into account more real-life thermal conditions.

关键词： Finite element Magnetic fluid hyperthermia optimization Magnetic fluids FINITE ELEMENT Adiabatic conditions Heating Rate optimization algorithms Fever Device Design GTF2E1 gene Iron multi-objective optimal design

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Non-contact electric-coupling-based and magnetic-field-sensing-assisted technique for monitoring voltage of overhead power transmission lines

Non-contact electric-coupling-based and magnetic-field-sensi...

引用

IEEE Sensors

作者： Ke Zhu Wing Kin Lee P. W. T. Pong Dept. of Electr. & Electron. Eng. Univ. of Hong Kong Hong Kong China

ISBN: (纸本)9781479982042

Adopting non-contact electric coupling for voltage monitoring avoids electrical connection to high-voltage transmission lines, making installation of the sensing platforms easier and enabling wide-area deployment. However, coupled transformation matrix is difficult to determine in practice as the exact spatial positions of the transmission lines are typically unknown and dynamic. This problem can be overcome by integrating magnetic field sensing with stochastic optimization algorithm. In this technique, magnetic signals emanated from the overhead transmission lines are measured by magnetic sensor arrays to determine the coupling coefficients so that the high voltage of the transmission lines can be deduced from the induced voltage in the copper bars on the ground. This proposed technique can be potentially implemented with low-cost copper induction bars and magnetoresistive (MR) sensors. Thus sectional and wide-area deployment may become possible and Ferranti effect and travelling lightning waves can then be monitored. Its enhanced sensing ability over potential transformers (PTs) can largely improve transient-fault identification and save cost for transmission-network inspection.

关键词： electric coupling magnetic field sensing overhead transmission line voltage monitoring Power transmission lines GALVANIC voltage monitoring Transmission Lines high voltage transmission line magnetic field optimization algorithms

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