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Robust pre-specified time synchronization of chaotic systems by employing time-varying switching surfaces in the sliding mode control scheme

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Chinese Physics B 2016年第8期25卷 86-93页

作者： Alireza Khanzadeh mahdi pourgholi Faculty of Electrical Engineering Shahid Beheshti University

In the conventional chaos synchronization methods, the time at which two chaotic systems are synchronized, is usually unknown and depends on initial conditions. In this work based on Lyapunov stability theory a sliding mode controller with time-varying switching surfaces is proposed to achieve chaos synchronization at a pre-specified time for the first time. The proposed controller is able to synchronize chaotic systems precisely at any time when we want. Moreover, by choosing the time-varying switching surfaces in a way that the reaching phase is eliminated, the synchronization becomes robust to uncertainties and exogenous disturbances. Simulation results are presented to show the effectiveness of the proposed method of stabilizing and synchronizing chaotic systems with complete robustness to uncertainty and disturbances exactly at a pre-specified time.

关键词： chaos synchronization finite time synchronization sliding mode controller time varying switching surfaces

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Multi-criteria prioritization of the renewable power plants in Australia using the fuzzy logic in decision-making method(FMCDM)

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Clean Energy 2022年第1期6卷 16-34页

作者： Amin Aryanfar Aslan Gholami Payam Ghorbannezhad Bijan Yeganeh mahdi pourgholi Majid Zandi Svetlana Stevanovic Faculty of Mechanical and Energy Engineering Shahid Beheshti UniversityTehranIran Faculty of New Technologies and Energy Engineering Shahid Beheshti UniversityTehranIran Faculty of Civil Water&Environmental EngineeringShahid Beheshti UniversityTehranIran Centre for Air Pollution Energy and Health ResearchGlebeNew South Wales 2037Australia Faculty of Electrical Engineering Shahid Beheshti UniversityTehranIran Faculty of Science Engineering&Built EnvironmentSchool of EngineeringDeakin UniversityGeelongVictoria 3220Australia

The presented study focused on developing an innovative decision-making framework to select the best renewable-power-plant technologies,considering comprehensive techno-economic and environmental *** to the favourable conditions,Australia was selected as the case study.A fuzzy-logic method and analytical hierarchy process were applied to prioritize different renewable-energy power *** techno-economic factors included levelized cost of energy,initial cost,simple payback time,and operation and maintenance costs along with environmental factors including carbon payback time,energy payback time and greenhouse-gas emissions were used to rank the power *** results showed that the capital cost and simple payback time had the highest priority from an economic point of *** comparison,greenhouse-gas emissions and carbon payback time were the dominant environmental *** analysis results provided economic and environmental priority tables for developing different power plants in the current state and a future scenario by *** fuzzy results and pairwise composite matrix of alternatives indicated that the onshore wind,offshore wind,single-axis tracker polycrystalline photovoltaic,single-axis tracker monocrystalline photovoltaic,fix-tilted polycrystalline photovoltaic and fix-tilted monocrystalline photovoltaic scored the highest in the current *** contrast,by 2030,the single-axis tracker photovoltaic power plants will be the best choice in the future scenario in ***,the results were used and analysed to recommend and suggest several policy implementations and future research studies.

关键词： photovoltaic wind fuzzy logic analytical hierarchy process prioritization

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A novel robust proportional-integral (PI) adaptive observer design for chaos synchronization

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Chinese Physics B 2011年第12期20卷 116-122页

作者： mahdi pourgholi Vahid Johari Majd Intelligent Control Systems Laboratory School of Electrical and Computer EngineeringTarbiat Modares UniversityTehranIran

In this paper, chaos synchronization in the presence of parameter uncertainty, observer gain perturbation and exogenous input disturbance is considered. A nonlinear non-fragile proportional-integral （PI） adaptive observer is designed for the synchronization of chaotic systems; its stability conditions based on the Lyapunov technique are derived. The observer proportional and integral gains, by converting the conditions into linear matrix inequality （LMI）, are optimally selected from solutions that satisfy the observer stability conditions such that the effect of disturbance on the synchronization error becomes minimized. To show the effectiveness of the proposed method, simulation results for the synchronization of a Lorenz chaotic system with unknown parameters in the presence of an exogenous input disturbance and abrupt gain perturbation are reported.

关键词： adaptive observer H-infinity design chaos synchronization linear matrix inequality

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