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Predictive control algorithms

Xem 1-12 trên 12 kết quả Predictive control algorithms
  • The aim of the dissertation is study and propose a new algorithm for solving the optimal problem in nonlinear model predictive control MIMO system.

    pdf28p change01 05-05-2016 24 2   Download

  • This paper focuses on a SCESS in terms of modeling and control designing aim to manage active power flow between the grid and the SCESS. A predictive control algorithm for discrete-time bilinear state-space model of a non-isolated bidirectional DC-DC converter is proposed. This algorithm is supplementary methods for this converter besides linear or hysteresis control methods in other research. Simulations validate the effectiveness of the proposed control.

    pdf10p dieutringuyen 07-06-2017 30 1   Download

  • The second edition of "Model Predictive Control" provides a thorough introduction to theoretical and practical aspects of the most commonly used MPC strategies. It bridges the gap between the powerful but often abstract techniques of control researchers and the more empirical approach of practitioners. The book demonstrates that a powerful technique does not always require complex control algorithms. Many new exercises and examples have also been added throughout.

    pdf429p suthebeo 01-08-2012 60 13   Download

  • Since the earliest algorithm of Model Predictive Control was proposed by French engineer Richalet and his colleagues in 1978, the explicit background of industrial application has made MPC develop rapidly. Different from most other control algorithms, the research trajectory of MPC is originated from engineering application and then expanded to theoretical field, while ordinary control algorithms often have applications after sufficient theoretical work.

    pdf0p 123859674 04-07-2012 49 7   Download

  • Since Model Predictive Heuristic Control (MPHC), the earliest algorithm of Model Predictive Control (MPC), was proposed by French engineer Richalet and his colleagues in 1978, the explicit background of industrial application has made MPC develop rapidly to satisfy the increasing request from modern industry. Different from many other control algorithms, the research history of MPC is originated from application and then expanded to theoretical field, while ordinary control algorithms often has applications after sufficient theoretical research....

    pdf0p 123859674 04-07-2012 67 5   Download

  • Science arises from the very human desire to understand and control the world. Over the course of history, we humans have gradually built up a grand edifice of knowledge that enables us to predict, to varying extents, the weather, the motions of the planets, solar and lunar eclipses, the courses of diseases, the rise and fall of economic growth, the stages of language development in children, and a vast panorama of other natural, social, and cultural phenomena. More recently we have even come to understand some fundamental limits to our abilities to predict.

    pdf162p tailieuvip13 19-07-2012 53 11   Download

  • Machine learning is all about making predictions; language is full of complex rich structure. Structured prediction marries these two. However, structured prediction isn’t always enough: sometimes the world throws even more complex data at us, and we need reinforcement learning techniques.

    pdf1p hongdo_1 12-04-2013 36 2   Download

  • The paper introduces an algorithm to design a feedback controller, which guarantees the tracking of time varying bilinear system outputs for desired values in the presence of input constraint. The proposed controller employs the ideas of receding horizon principle and constrained optimal control.

    pdf10p dieutringuyen 07-06-2017 16 1   Download

  • . .Real-Time Systems Series Series Editor John A. Stankovic University of Virginia, Virginia, USA For further volumes: http://www.springer.com/series/6941 .Giorgio C. Buttazzo Hard Real-Time Computing Systems Predictable Scheduling Algorithms and Applications Third Edition .Giorgio C. Buttazzo RETIS Lab Scuola Superiore Sant’Anna Pisa Italy g.buttazzo@sssup.it ISSN 1867-321X e-ISSN 1867-3228 e-ISBN 978-1-4614-0676-1 ISBN 978-1-4614-0675-4 DOI 10.

    pdf528p drhoanh 25-05-2013 51 14   Download

  • Bio-inspired computational algorithms are always hot research topics in artificial intelligence communities. Biology is a bewildering source of inspiration for the design of intelligent artifacts that are capable of efficient and autonomous operation in unknown and changing environments. It is difficult to resist the fascination of creating artifacts that display elements of lifelike intelligence, thus needing techniques for control, optimization, prediction, security, design, and so on.

    pdf0p bi_bi1 13-07-2012 59 5   Download

  • The present paper employs an Particle Swarm Optimization (PSO) Improved via Genetic Algorithm (IPSO) based on Support Vector Machines (SVM) for efficient prediction of various stock indices. The main difference between PSO and IPSO is shown in a graph. Different indicators from the technical analysis field of study are used as input features.

    pdf4p cathydoll5 27-02-2019 9 0   Download

  • Introduction to Adaptive Filters 18.1 18.2 18.3 18.4 18.5 What is an Adaptive Filter? The Adaptive Filtering Problem Filter Structures The Task of an Adaptive Filter Applications of Adaptive Filters System Identification • Inverse Modeling • Linear Prediction • Feedforward Control General Form of Adaptive FIR Algorithms • The MeanSquared Error Cost Function • The Wiener Solution • The Method of Steepest Descent • The LMS Algorithm • Other Stochastic Gradient Algorithms • Finite-Precision Effects and Other Implementation Issues • System Identification Example 18.

    pdf20p longmontran 18-01-2010 58 8   Download

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