Neural Network Control of Nonstrict Feedback and Nonaffine Nonlinear Discrete-time Systems with Application to Engine Control
Language: en
Pages: 0
Authors: Jonathan Blake Vance
Categories: Feedback control systems
Type: BOOK - Published: 2007 - Publisher:

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"In this dissertation, neural networks (NN) approximate unknown nonlinear functions in the system equations, unknown control inputs, and cost functions for two
Neural Network Control Of Robot Manipulators And Non-Linear Systems
Language: en
Pages: 470
Authors: F W Lewis
Categories: Technology & Engineering
Type: BOOK - Published: 1998-11-30 - Publisher: CRC Press

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There has been great interest in "universal controllers" that mimic the functions of human processes to learn about the systems they are controlling on-line so
Reinforcement Learning and Approximate Dynamic Programming for Feedback Control
Language: en
Pages: 498
Authors: Frank L. Lewis
Categories: Technology & Engineering
Type: BOOK - Published: 2013-01-28 - Publisher: John Wiley & Sons

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Reinforcement learning (RL) and adaptive dynamic programming (ADP) has been one of the most critical research fields in science and engineering for modern compl
Discrete-Time High Order Neural Control
Language: en
Pages: 116
Authors: Edgar N. Sanchez
Categories: Mathematics
Type: BOOK - Published: 2008-04-29 - Publisher: Springer Science & Business Media

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Neural networks have become a well-established methodology as exempli?ed by their applications to identi?cation and control of general nonlinear and complex sys
Reinforcement Learning Based Output Feedback Controller for Nonlinear Discrete Time System with Application to Spark Ignition Engines Operating Lean and EGR
Language: en
Pages: 186
Authors: Peter Shih
Categories: Automobiles
Type: BOOK - Published: 2007 - Publisher:

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"A spark ignition (SI) engine can be described by non-strict feedback nonlinear discrete-time system with the output dependent upon on the states in a nonlinear