Cover Image

QR Code

Optimal event-triggered control using adaptive dynamic programming

Main Author:	Jagannathan, Sarangapani
Other Authors:	Narayanan, Vignesh, Sahoo, Avimanyu
Subjects:	Contactor control systems Neural networks (Computer science) Electronic books
Online Access:	http://library.unisel.edu.my/web/guest/mylibrary

Similar Items

Swarms and network intelligence in search
by: Altshuler, Yaniv
Published: (2018)

Neural and adaptive systems : fundamentals through simulations
by: Principe, Jose. C
Published: (2000)

Cooperative control of distributed multi-agent system
Published: (2007)

Discrete-time inverse optimal control for nonlinear systems
by: Sanchez, Edgar N

Networked and event-triggered control approaches in cyber-physical systems

Event-triggered transmission protocol in robust control systems
by: Tripathy, Niladri Sekhar

Semi automated tiling machine (mobile robot)
by: Khairul Irman Saharuddin
Published: (2005)

Neural network modeling and identification of dynamical systems
by: Tiumentsev, Yury

Static and dynamic neural networks : from fundamentals to advanced theory
by: Gupta, Madan M
Published: (2003)

Optimal reactive power dispatch using artificial immune system (AIS)
by: Mohd Zaki Mohd Idrus
Published: (2005)

Deep neuro-fuzzy systems with Python : with case studies and applications from the industry
by: Singh, Himanshu

Deep learning with R cookbook : over 45 unique recipes to delve into neural network techniques using R 3.5.x
by: Gupta, Swarna

Computational intelligence : an introduction
by: Engelbrecht, Andries P
Published: (2002)

Hands-on deep learning with R : a practical guide to designing, building, and improving neural network models using R
by: Pawlus, Michael

Hands-on Python deep learning for the Web : integrating neural network architectures to build smart web apps with Flask, Django, and TensorFlow
by: Singh, Anubhav

PyTorch artificial intelligence fundamentals : a recipe-based approach to design, build and deploy your own AI models with PyTorch 1.x
by: Mathew, Jibin

PyTorch recipes : a problem-solution approach to build, train and deploy neural network models
by: Mishra, Pradeepta

The deep learning with Keras workshop : an interactive approach to understanding deep learning with Keras
by: Moocarme, Matthew

Neural networks : a classroom approach
by: Kumar, Satish
Published: (2004)

Artificial neural networks
by: Yegnanarayana, B
Published: (1999)

Neural networks : a comprehensive foundation
by: Haykin, Simon
Published: (1999)

Neural networks : algorithms, applications, and programming techniques
by: Freeman, James A
Published: (1991)

Artificial neural networks
by: Schalkoff, Robert J
Published: (1997)

Zeroing neural networks : finite-time convergence design, analysis and applications
by: Xiao, Lin

Recurrent neural networks : from simple to gated architectures
by: Salem, Fathi M.

Sensitivity analysis for neural networks
by: Yeung, Daniel S
Published: (2010)

Advances in neural network research and applications

Intelligent systems : modeling, optimization, and control
by: Yung, C. Shin
Published: (2009)

Swarm intelligence : trends and applications

Swarm intelligence : foundation, principles, and engineering applications

Neural networks modeling and control : applications for unknown nonlinear delayed systems in discrete time

An introduction to the modeling of neural networks
by: Peretto, Pierre
Published: (1992)

Block sorted using pneumatic robot
by: Wong, Soon Kien
Published: (2008)

Learn Robotics Programming : build and control AI-enabled autonomous robots using the Raspberry Pi and Python
by: Staple, Danny

Computer vision and fuzzy-neural systems
by: Kulkarni, Arun D
Published: (2001)

Neuro-fuzzy and soft computing : a computational approach to learning and machine intelligence
by: Jang, Jyh-Shing Roger
Published: (1997)

Diffuse algorithms for neural and neuro-fuzzy networks : with applications in control engineering and signal processing
by: Skorohod, Boris A

Analysis and visualization of discrete data using neural networks
by: Koyamada, Koji

Machine learning for future wireless communications

Business applications of neural networks : the state-of-the-art of real-world applications
Published: (2000)