How Long to Read Differential Neural Networks for Robust Nonlinear Control

How Long Does it Take to Read Differential Neural Networks for Robust Nonlinear Control?

It takes the average reader 7 hours and 46 minutes to read Differential Neural Networks for Robust Nonlinear Control by Alexander S Poznyak

Assuming a reading speed of 250 words per minute. Learn more

Description

This book deals with continuous time dynamic neural networks theory applied to the solution of basic problems in robust control theory, including identification, state space estimation (based on neuro-observers) and trajectory tracking. The plants to be identified and controlled are assumed to be a priori unknown but belonging to a given class containing internal unmodelled dynamics and external perturbations as well. The error stability analysis and the corresponding error bounds for different problems are presented. The effectiveness of the suggested approach is illustrated by its application to various controlled physical systems (robotic, chaotic, chemical, etc.). Contents:Theoretical Study:Neural Networks StructuresNonlinear System Identification: Differential LearningSliding Mode Identification: Algebraic LearningNeural State EstimationPassivation via Neuro ControlNeuro Trajectory TrackingNeurocontrol Applications:Neural Control for ChaosNeuro Control for Robot ManipulatorsIdentification of Chemical ProcessesNeuro Control for Distillation ColumnGeneral Conclusions and Future WorkAppendices:Some Useful Mathematical FactsElements of Qualitative Theory of ODELocally Optimal Control and Optimization Readership: Graduate students, researchers, academics/lecturers and industrialists in neural networks. Keywords:Dynamic Neural Networks;System Identification;State Estimation;Adaptive Control;Robust Control;Sliding Mode;Chaos Identification and Control;Chemical Process;Lyapunov Method;StabilityReviews:“This book is the result of many years of research and publications by the authors. Overall, it is a good one that could benefit the researchers and practitioners in the field of intelligent nonlinear control systems. Design methods and analytical results are well presented and substantiated by closely-related simulation examples and engineering applications. It is a very good addition to the libraries of those interested in the subject. It is also qualified to be used as a postgraduate-level reference.”International Journal of Adaptive Control and Signal Processing

How long is Differential Neural Networks for Robust Nonlinear Control?

Differential Neural Networks for Robust Nonlinear Control by Alexander S Poznyak is 456 pages long, and a total of 116,736 words.

This makes it 154% the length of the average book. It also has 143% more words than the average book.

How Long Does it Take to Read Differential Neural Networks for Robust Nonlinear Control Aloud?

The average oral reading speed is 183 words per minute. This means it takes 10 hours and 37 minutes to read Differential Neural Networks for Robust Nonlinear Control aloud.

What Reading Level is Differential Neural Networks for Robust Nonlinear Control?

Differential Neural Networks for Robust Nonlinear Control is suitable for students ages 12 and up.

Note that there may be other factors that effect this rating besides length that are not factored in on this page. This may include things like complex language or sensitive topics not suitable for students of certain ages.

When deciding what to show young students always use your best judgement and consult a professional.

Where Can I Buy Differential Neural Networks for Robust Nonlinear Control?

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