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An Evolutionary Framework with Improved Variance-Stabilized Multi-Objective Proximal Policy Optimization and NSGA-II

An Evolutionary Framework with Improved Variance-Stabilized ...

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2024 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2024

作者： Bi, Jing Yue, Caiheng Yuan, Haitao Zhai, Jiahui Zhang, Jia Zhou, MengChu Beijing University of Technology College of Computer Beijing100124 China Beihang University School of Automation Science and Electrical Engineering Beijing100191 China Southern Methodist University Dept. of Computer Science DallasTX75275 United States New Jersey Institute of Technology Dept. of Electrical and Computer Engineering NewarkNJ07102 United States

ISBN: (纸本)9781665410205

Multi-objective optimization algorithms are essential for addressing real-world challenges characterized by conflicting objectives. Although conventional algorithms are effective in exploring solution spaces and generating non-dominated solutions, solution quality and dynamic adaptability of true Pareto fronts need to be improved. This work proposes a multi-objective algorithm that integrates Non-dominated sorting genetic algorithm II (NSGA-II) and Multi-Objective Reinforcement Learning (N-MORL). N-MORL consists of two parts including upstream and downstream components. In the upstream component, this work improves the Variance-stabilized Multi-objective Proximal Policy Optimization (VMPPO) for enhanced convergence stability by adjusting its iteration mechanism. Additionally, this work optimizes variance networks and action sampling to balance exploration and exploitation, which improves experience sampling efficiency. This work adopts high-quality solution sets yielded by MORL as the initial solution set for downstream NSGA-II, guiding the exploration space and increasing the solution number. High-quality initial solutions significantly accelerate the iterative convergence speed of N-MORL. N-MORL provides the quality and the number of solutions, better covering or approaching the true Pareto front. Experimental results with five benchmark multi-objective functions demonstrate that N-MORL outperforms the other three multi-objective evolutionary algorithms regarding high-quality solutions with the same iterations. © 2024 IEEE.

关键词： Genetic algorithms

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Control performance optimization by convex hull manipulation

Control performance optimization by convex hull manipulation

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19th International Workshop on Robotics in Alpe-Adria-Danube Region, RAAD 2010

作者： Gróf, Patricia Baranyi, Péter Korondi, Péter Computer and Automation Research Institute Cognitive Informatics Research Group Hungary Budapest University of Technology and Economics Dept. of Telecommunications and Media Informatics Hungary Budapest University of Technology and Economics Dept. of Mechatronics Optics and Engineering Informatics Hungary

ISBN: (纸本)9781424468867

This paper deals with the topic of qLPV statespace model based control design in which LMIs are used to optimize the multi-objective control performance. In this paper we investigate how the convex hull of the polytopic model influences the control performance of the LMI based control design. We examine these influences through the controller and observer design of the two dimensional aeroelastic wing's example. First we define various TP type polytopic model representations of a wing section whose vertices define different convex hulls. In the second step we investigate how these models change the control performance. © 2010 IEEE.

关键词： Computational geometry

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Improving the Efficiency of a Multistage Evaporator Station for Sugar Production Using Neural Networks 4

Improving the Efficiency of a Multistage Evaporator Station ...

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4th IEEE International Conference on Modern Electrical and Energy System, MEES 2022

作者： Zaiets, Nataliia Lutska, Nataliia Vlasenko, Lidiia National University of Life and Environmental Sciences of Ukraine Det. of Automation and Robotic Systems Kyiv Ukraine National University of Food Technologies Dept. of Automation and Computer Technologies of Control Systems Kyiv Ukraine State University of Trade and Economics Dept. of Software Engineering and Cyber Security Kyiv Ukraine

ISBN: (纸本)9798350346831

The paper shows the process of developing a model of multistage evaporator station of a sugar factory based on a neural network. The neural network predicts the main performance indicators of the multistage evaporator station, such as the concentration of syrup at the output of the evaporator and the amount of evaporated water at the station. Unlike existing solutions, forecasting is performed in real time based on a set of indicators of the automation system (temperatures, flow rates, levels, pressure, density in the apparatus) and industrial laboratory (concentration of solids at the inlet to the evaporation station). The proposed neural network model has an MLP structure with 27 inputs, 2 outputs and one hidden layer with 20 neurons and predicts these indicators with an error of less than 5%. This allows to increase the informative support of the operator-technologist on the quality indicators of the enterprise without additional load on the industrial laboratory and without additional cost automatic quality devices, as well as to perform timely adjustment of the technological mode of the department. © 2022 IEEE.

关键词： Evaporation

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Determination of the stability parameter space of a two dimensional aeroelastic system, a TP model-based approach

Determination of the stability parameter space of a two dime...

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14th International Conference on Intelligent engineering Systems, INES 2010

作者： Gróf, Patricia Baranyi, Péter Korondi, Péter Cognitive Informatics Research Group Computer and Automation Research Institute Hungary Dept. of Telecommunications and Media Informatics Budapest University of Technology and Economics Hungary Dept. of Mechatronics Optics and Engineering Informatics Budapest University of Technology and Economics Hungary

ISBN: (纸本)9781424476527

This paper falls in the topic of qLPV state-space model based control design in which LMIs are used to optimize the multi-objective control performance. In this paper we investigate how the convex hull of the polytopic model influences the feasibility of the LMI based control design and the resulting control performances. We examine these influences through the control design of the two dimensional aeroelastic system's example. First we define various TP type polytopic model representations of a wing section whose vertices define different convex hulls. In the second step we investigate how these models lead to different control performances. © 2010 IEEE.

关键词： State space methods

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Improved Transform Algorithm of Direct Computation of Discrete Cosine for Mel-scale Frequency Cepstral Coefficient

Improved Transform Algorithm of Direct Computation of Discre...

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2021 IEEE International Conference on Electronic Communications, Internet of Things and Big Data, ICEIB 2021

作者： Lai, Shin-Chi Hung, Ying-Hsiu Zhu, Yi-Chang Wang, Szu-Ting Sheu, Ming-Hwa Juang, Wen-Ho National Formosa University Dept. of Automation Engineering Yunlin Taiwan National Yunlin University of Science and Technology Dept. of Electronic Engineering Yunlin Taiwan National Formosa University Doctor's Program of Smart Industry Technology Research and Design Yunlin Taiwan Nanhua University Dept. of Computer Science and Information Engineering Chiayi County Taiwan

ISBN: (纸本)9781665437554

In this work, we proposed a direct computation of the DCT algorithm that is improved by utilizing the coefficients of cosine and sine to calculate the DCT bins for Mel-scale frequency cepstral coefficients (MFCC). Instead of computing directly, the cosine coefficient is sharply declined more than 85% at the expense of the amount of additions and multiplications. According to the PSNR comparison results, and the proposed method is similar to Jo et al.'s algorithm. which uses approximate computation, so that the PSNR value is closed to 52 dB. Although the proposed algorithm must pay for some accuracy and extra complexity in computation, it still can greatly reduce more sizes of ROM. Based on the point of interest of simple control and straightforward structure, the algorithm is a selectable design for applications to the design of MFCC. © 2021 IEEE.

关键词： Discrete cosine transforms

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AN ANALOGUE METHOD OF BRAIN MEMORY

AN ANALOGUE METHOD OF BRAIN MEMORY

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IJCNN International Joint Conference on Neural Networks

作者： Lu hai-ou Du Peng Dept. of Automation HEBEI Engineering Institute Dept. of Computer TIANJIN Normal University

According to the mothod of brain information processing of psychology,the brain memory consists of sensory register(SR),short term memory(STM),medium term memory(MTM),long term memory(LTM) and control system(CS).SR is made of each sense organ *** stores message and data for environmental change, intermediate result of learning procedure and call condition of the knowledge,

关键词： net AN ANALOGUE METHOD OF BRAIN MEMORY STM

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IMPROVED CHANGE TRACKING FOR SOFTWARE MAINTENANCE

IMPROVED CHANGE TRACKING FOR SOFTWARE MAINTENANCE

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1991 CONF ON SOFTWARE MAINTENANCE

作者： GARLAND, JK CALLISS, FW Software Tools Development Honeywell Industrial Automation and Control Phoenix 85023 AZ United States Dept. of Computer Science and Engineering Arizona State University Tempe 85287-5406 AZ United States

ISBN: (纸本)081862325X

With an ever increasing body of software to maintain and a small number ofexperiencedpersonnel, it is critical to improve software maintenance practice. One difficult problem maintenance organizations must address is how to document program evolution. Problem or change reporting and tracking is a key aspect of recording changes to large software systems. Large software systems which evolve over a long period of time magnify the need for organized change tracking due to the number and extent of the changes made. This paper describes a method to incorporate problem solving information in a change tracking database. Problem solving is discussed with regard to structured problem solving techniques for isolating difficult problems. A relational database structure and queries to access the database are discussed. An example of how the change tracking system supports the maintenance problem solving process is also included. © 1991 IEEE.

关键词： computer software maintenance

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On-line improvement for the decentralized predictive control of the heat dynamics of a greenhouse 15th

On-line improvement for the decentralized predictive control...

引用

15th World Congress of the International Federation of Automatic Control, 2002

作者： Kyriannakis, E.J. Arvanitis, K.G. Sigrimis, N. National Technical University of Athens Dept. of Electrical and Computer Engineering Intelligent Robotics and Automation Laboratory Zographou Athens15773 Greece Agricultural University of Athens Department of Agricultural Engineering Athens11855 Greece

ISBN: (纸本)9783902661746

A decentralized model-based predictive controller is used for the design of discrete-time control systems aiming at regulating the air temperature and heat supply in greenhouses. Moreover, alternative techniques are proposed for the approximation of the decentralized part of the control and the on-line improvement of the overall control problem. A state space model is used to predict the corresponding local indoor temperature over a long-range time-period and approximate models are used to predict the interactions among the subsystems. The sun radiation and outdoor temperature are treated as external disturbances that affect the overall system dynamics. A series of energy fluxes consist the heating system and the predictive controllers have proved to be powerful in controlling the supply temperature. Copyright © 2002 IFAC.

关键词： Discrete time control systems

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Parallel-channel flow instabilities and active control schemes in two-phase microchannel heat exchanger systems

Parallel-channel flow instabilities and active control schem...

引用

作者： Zhang, Tie Jun Wen, John T. Julius, Agung Bai, He Peles, Yoav Jensen, Michael K. Rensselaer Polytechnic Institute Troy NY 12180 United States Center for Automation Technologies and Systems United States Electrical Computer and Systems Engineering Dept. United States Mechanical Aerospace and Nuclear Engineering Dept. United States Mechanical Engineering Dept. Northwestern University United States

ISBN: (纸本)9781424474264

Parallel-channel flow mal-distribution and pressure-drop flow oscillations are two of the most severe dynamic instabilities for boiling flow especially in microchannel systems. This paper presents a framework for the transient analysis and active control of microchannel flow instabilities at a system-level view. A lumped two-phase flow system model is derived from the momentum balance equation to capture the characteristics of the microchannel heat exchangers. Bifurcations of flow distribution and inlet pressure can arise in parallel-channel two-phase flow systems. This paper investigates the control-theoretic properties with different control devices, including inlet valves and supply pump. Individual control valves at the inlet of each channel can be used to suppress both flow mal-distribution and flow oscillations effectively, although this scheme is subject to higher pressure loss and potential higher supply pumping power. Using the pump alone can only suppress pressure-drop flow oscillations, but not for flow mal-distribution in two identical parallel channels. However, we make an interesting observation that with different channel properties, we regain controllability from the pump and observability from a single channel flow rate measurement. © 2010 AACC.

关键词： Channel flow

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Optimized fractional order conditional integrator

Optimized fractional order conditional integrator

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作者： Luo, Ying Chen, YangQuan Pi, Youguo Monje, Concepción A. Vinagre, Blas M. Dept. of Automation Science and Engineering South China University of Technology Guangzhou China Dept. of Electrical and Computer Engineering Utah State University Logan UT United States Dept. of System Engineering and Automatics Higher Technical School University Carlos III of Madrid Madrid Spain Dept. of Electrical Electronic and Automatic Engineering Industrial Engineering School University of Extremadura Spain

ISBN: (纸本)9781424474264

In this paper, an optimized fractional order conditional integrator (OFOCI) is proposed. The key feature of this OFOCI is that, the fractional order α and the parameter κ for the "hold" value in the course of integration can be tuned following the analytical optimality design specifications, to achieve the optimized performance not achievable using integer order conditional integrators. The proposed optimality specifications are given to satisfy the desired phase delay, and minimize the preferred magnitude ratio, which can be calculated from the high order harmonic magnitudes divided by the magnitude of the fundamental wave. The numerical solution of calculating the optimized parameters α and κ of the OFOCI is introduced. The phase delays and magnitude ratios of four designed OFOCIs are compared with the integer order conditional integrators. Simulation results with the FFT spectra are also presented to validate the theoretical analysis. © 2010 AACC.

关键词： Specifications

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