Optimal Process Control Using Neural Networks
โ Scribed by Radhakant Padhi; S. N. Balakrishnan
- Book ID
- 114944680
- Publisher
- John Wiley and Sons
- Year
- 2008
- Tongue
- English
- Weight
- 392 KB
- Volume
- 5
- Category
- Article
- ISSN
- 1561-8625
No coin nor oath required. For personal study only.
๐ SIMILAR VOLUMES
This paper presents a novel approach to the general problem of the control of processes whose dynamic characteristics are not known, or little known. It demonstrates how a system consisting of a relatively small number of neuronlike elements can be used to control a wide variety of processes with li
This paper presents a new procedure for optimization of continuous mixed suspensionmixed product removal (MSMPR) crystallizing systems. Owing to the difficulties of theoretical modelling, simulation of the MSMPR crystallization process is based on the use of artificial neural networks (ANN). The opt
The paper is concerned with the application of quadratic optimization for motion control to feedback control of robotic systems using neural networks. Explicit solutions to the Hamilton}Jacobi}Bellman (H}J}B) equation for optimal control of robotic systems are found by solving an algebraic Riccati e