Carlos Lopez-Franco's Books

Neural Networks for Robotics

An Engineering Perspective

By: Nancy Arana-Daniel,Alma Y. Alanis,Carlos Lopez-Franco

Write a review Read reviews Take a Quiz Solve Book Puzzle

Neural Networks for Robotics

An Engineering Perspective

By: Nancy Arana-Daniel,Alma Y. Alanis,Carlos Lopez-Franco

The book offers an insight on artificial neural networks for giving a robot a high level of autonomous tasks, such as navigation, cost mapping, object recognition, intelligent control of ground and aerial robots, and clustering, with real-time implementations. The reader will learn various methodologies that can be used to solve each stage on autonomous navigation for robots, from object recognition, clustering of obstacles, cost mapping of environments, path planning, and vision to low level control. These methodologies include real-life scenarios to implement a wide range of artificial neural network architectures.

Average ratings

N/A

Write a review

Solve jigsaw puzzle

Age

Page Count

246

Publisher

CRC Press

Published Date

ISBN 10

1351231774

ISBN 13

9781351231770

Neural Networks Modeling and Control

Applications for Unknown Nonlinear Delayed Systems in Discrete Time

By: Jorge D. Rios,Alma Y Alanis,Nancy Arana-Daniel,Carlos Lopez-Franco

Write a review Read reviews Take a Quiz Solve Book Puzzle

Neural Networks Modeling and Control

Applications for Unknown Nonlinear Delayed Systems in Discrete Time

By: Jorge D. Rios,Alma Y Alanis,Nancy Arana-Daniel,Carlos Lopez-Franco

Neural Networks Modelling and Control: Applications for Unknown Nonlinear Delayed Systems in Discrete Time focuses on modeling and control of discrete-time unknown nonlinear delayed systems under uncertainties based on Artificial Neural Networks. First, a Recurrent High Order Neural Network (RHONN) is used to identify discrete-time unknown nonlinear delayed systems under uncertainties, then a RHONN is used to design neural observers for the same class of systems. Therefore, both neural models are used to synthesize controllers for trajectory tracking based on two methodologies: sliding mode control and Inverse Optimal Neural Control. As well as considering the different neural control models and complications that are associated with them, this book also analyzes potential applications, prototypes and future trends. - Provide in-depth analysis of neural control models and methodologies - Presents a comprehensive review of common problems in real-life neural network systems - Includes an analysis of potential applications, prototypes and future trends

Average ratings

N/A

Write a review

Solve jigsaw puzzle

Age

Page Count

160

Publisher

Academic Press

Published Date

ISBN 10

0128170794

ISBN 13

9780128170793

Bio-inspired Algorithms for Engineering

By: Nancy Arana-Daniel,Carlos Lopez-Franco,Alma Y Alanis

Write a review Read reviews Take a Quiz Solve Book Puzzle

Bio-inspired Algorithms for Engineering

By: Nancy Arana-Daniel,Carlos Lopez-Franco,Alma Y Alanis

Bio-inspired Algorithms for Engineering builds a bridge between the proposed bio-inspired algorithms developed in the past few decades and their applications in real-life problems, not only in an academic context, but also in the real world. The book proposes novel algorithms to solve real-life, complex problems, combining well-known bio-inspired algorithms with new concepts, including both rigorous analyses and unique applications. It covers both theoretical and practical methodologies, allowing readers to learn more about the implementation of bio-inspired algorithms. This book is a useful resource for both academic and industrial engineers working on artificial intelligence, robotics, machine learning, vision, classification, pattern recognition, identification and control. - Presents real-time implementation and simulation results for all the proposed schemes - Offers a comparative analysis and rigorous analysis of the convergence of proposed algorithms - Provides a guide for implementing each application at the end of each chapter - Includes illustrations, tables and figures that facilitate the reader's comprehension of the proposed schemes and applications

Average ratings

N/A

Write a review

Solve jigsaw puzzle

Age

Page Count

154

Publisher

Butterworth-Heinemann

Published Date

ISBN 10

0128137894

ISBN 13

9780128137895

Book's by Carlos Lopez-Franco

Neural Networks for Robotics

Neural Networks for Robotics

Neural Networks Modeling and Control

Neural Networks Modeling and Control

Bio-inspired Algorithms for Engineering

Bio-inspired Algorithms for Engineering

Username

Password

Username

Password

Password again

Birthday

Email