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Search results for: nonlinear systems
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Year: 2023, Volume: 23, Number: 2
... al. have proposed a VPP proposed optimization problem formulated as a stochastic Mixed Integer Nonlinear Programming (MINLP) model and is model including WTs, conventional generators, ... solution to the disadvantages of provides the advantage of making changes in generation distributed generation systems such as low capacity and according to variety, price, and demand conditions ...
Year: 2017, Volume: 17, Number: 4
... minutes to run and we have done the DSE process on 2 x interpolate complex nonlinear relations g(x) with an error E. Intel Xeon W3690 processors ... exclusively machine learning, pareto optimization, response surface methodology. on optimizing advanced computing systems, like the Sniper multicore simulator and the Grid ALU processor (GAP) ...
Year: 2017, Volume: 17, Number: 3
... 0 is an adjustable parameter that is necessary when f x   has high nonlinearity, N is the  K fj M K fj   T K ... state estimation problem for algorithm in the presence of unknown measurement noise discrete-time jump Markov systems is considered. A minimax and steering command of the target, Li has ...
Year: 2019, Volume: 19, Number: 2
... graphics processing units (GPU) are present these days harmonic content (due to nonlinear loads), poor power in nearly every personal computer, while infrastructure as ... scheme allowing their implementation to and flickers. Different sources responsible for causing obtain on-line systems. Different parallel systems disturbance events are present with a considerable portion of architectures ...
Year: 2016, Volume: 16, Number: 4
... [8] J. Shawash and D. R. Selviah, "Real-Time Nonlinear Parameter Estimation Using the Levenberg – Marquardt Algorithm on Field field of industry, ... Center for Research, Development and Innovation in Advanced Materials, Nanotechnologies, and Distributed Systems for Fabrication and Control (MANSiD), Stefan cel Mare University, Suceava ...
Year: 2012, Volume: 12, Number: 2
... It had been designed for Step 6: The evolutionary process is repeated iteratively solving nonlinear problems and can be used for finding (from step 3 to step 5 ... Volume 12, Number 2, 2012 the International Conference on Control, Automation and Systems, [21] N. Pillay, and P. Govender, A ...
Year: 2011, Volume: 11, Number: 2
... )  (agi  bgi PGi  cgi PGi) Max   2 nonlinear programming dilemma that cannot easily be  ï€ ïƒ i 1  solved by ... and transmission lines are based on flexible AC transmission nonconvex regions that challenge most gradient-based systems (FACTS) [5]. Different approaches, based on optimization algorithms ...
Year: 2011, Volume: 11, Number: 2
... ]  R is the state vector, T n data and then design a nonlinear controller using the estimated states of these neural networks. Learning methods y ( ... networks serve as content-addressable memory by existing numerical algorithms [12, 13]. systems with binary threshold units. In recent years, This paper is organized as ...
Year: 2013, Volume: 13, Number: 1
... the accurate and fast tracking of the Due to the inevitable and increasing use of nonlinear reference currents, attention is directed to the control loops loads in both industrial ... factor and current total harmonic distortion, conditioning, power system control, real time systems. consists in the control of the supply current shape through the admittances of ...
Year: 2016, Volume: 16, Number: 4
... , total body water estimation [8 ], etc. and analysis. Complex nonlinear least squares (CNLS) data Structure of the models of biological tissues depends ... more suitable for low-cost microcontroller-based bioimpedance However, model of complex tissues with individual measurement systems. The obtained results are promising, and viscoelastic cells and Cole model are ...
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