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Fast model predictive control using online optimization
Model predictive control application offline calculation network controller
2015/8/7
A widely recognized shortcoming of model predictive control (MPC) is that it can usually only be used in applications with slow dynamics, where the sample time is measured in seconds or minutes. A wel...
Taming random lasers through active spatial control of the pump
Taming random lasers active spatial control pump
2012/2/24
Active control of the pump spatial profile is proposed to exercise control over random laser emission. We demonstrate numerically the selection of any desired lasing mode from the emission spectrum. A...
Application of Neural Net Modeling and Inverse Control to the Desulphurization of Hot Metal Process
Inverse control Neural network Constrained optimization
2010/1/14
Optimization techniques are powerful in determining inputs to a process that will drive its output to a desired target. This
inverse control problem reduces to minimizing a positive cost function tha...
Inverse Control of Cable-Driven Parallel Mechanism Using Type-2 Fuzzy Neural Network
Inverse control type-2 fuzzy logic neural network parallel mechanism
2009/9/9
The leveling adjustment process of cable-driven parallel mechanism is challenging due to the difficulty to obtain an accurate mathematical model and the fact that different sources of uncertainties ex...
Control Chart Pattern Recognition Using Artificial Neural Networks
Multilayered Perceptrons Resilient Propagation Backpropagation
2009/7/27
Precise and fast control chart pattern (CCP) recognition is important for monitoring process environments to achieve appropriate control and to produce high quality products. CCPs can exhibit six type...
ASPECTS REGARDING THE NEURO-ADAPTIVE CONTROL STRUCTURE PROPRIETIES.APPLICATION TO THE NONLINEAR PNEUMATIC SERVO SYSTEM BENCHMARK
neural network reference model neuro-adaptive control
2010/1/12
Generally, control techniques based on multilayer neural networks are used especially in the case of non-linear process and less in case of linear process, because classical control techniques are goo...