Highly regarded for its accessibility and focus on practical applications, Control Systems Engineering offers students a comprehensive introduction to the design and analysis of feedback systems that support modern technology. Going beyond theory and abstract mathematics to translate key concepts into physical control systems design, this text presents real-world case studies, challenging chapter questions, and detailed explanations with an emphasis on computer aided design. Abundant illustra...

Robotic vision, the combination of robotics and computer vision, involves the application of computer algorithms to data acquired from sensors. The research community has developed a large body of such algorithms but for a newcomer to the field this can be quite daunting. For over 20 years the author has maintained two open-source MATLAB (R) Toolboxes, one for robotics and one for vision.

They provide implementations of many important algorithms and allow users to work with real problems, not...

Applied Statistics and Probability for Engineers provides a practical approach to probability and statistical methods. Students learn how the material will be relevant in their careers by including a rich collection of examples and problem sets that reflect realistic applications and situations. This product focuses on real engineering applications and real engineering solutions while including material on the bootstrap, increased emphasis on the use of p-value, coverage of equivalence testin...

For courses in Motor Controls, Electric Machines, Power Electronics, and Electric Power. This best-selling text employs a theoretical, practical, multidisciplinary approach to provide introductory students with a broad understanding of modern electric power. The scope of the book reflects the rapid changes that have occurred in power technology over the past few years-allowing the entrance of power electronics into every facet of industrial drives, and expanding the field to open more career ...

This short guide to modern error analysis is primarily intended to be used in undergraduate laboratories in the physical sciences. No prior knowledge of statistics is assumed. The necessary concepts are introduced where needed and illustrated graphically. The book emphasises the use of computers for error calculations and data fitting.

If you want to learn how to program, working with Python is an excellent way to start. This hands-on guide takes you through the language a step at a time, beginning with basic programming concepts before moving on to functions, recursion, data structures, and object-oriented design. This second edition and its supporting code have been updated for Python 3.

Through exercises in each chapter, you'll try out programming concepts as you learn them. Think Python is ideal for students at the high...

The successful design of mechanisms for products, tools and equipment relies on excellent concepts and properly designed details. Both are covered in this book. Many of the examples presented have been realised in practice and properly evaluated, giving the reader/designer a high level of confidence. Every example comes with the considerations underlying the application and the limitations of the particular idea.

This book is based on the work started in the 1960s by W. van der Hoek at Philip...

Tough Test Questions? Missed Lectures? Not Enough Time? Textbook too pricey?Fortunately, there's Schaum's. This all-in-one-package includes more than 500 fully-solved problems, examples, and practice exercises to sharpen your problem-solving skills. Plus, you will have access to 25 detailed videos featuring math instructors who explain how to solve the most commonly tested problems-it's just like having your own virtual tutor! You'll find everything you need to build your confidence, skills, ...