Hands On Symbolic Methods For Control System Analysis And Design In Modern Robotics And Sensor Systems A Practical Guide To Modeling Analysis And Design With Real World Computation

Symbolic Methods for Control System Analysis in Robotics ✔️ Comprehensive modeling and analysis guide for robotics, single copy

This 412-page reference dives into symbolic computing techniques for control engineering, focusing on robotics and sensor systems, and is ideal for postgraduate researchers and engineers.

✅ 412 pages
✅ Language: English
✅ Release date: 30-06-1999
✅ Topics: symbolic computing in control engineering
✅ Audience: postgraduate researchers and engineers

💡 What is symbolic computing used for in control system design for robotics and sensor systems?

Symbolic tools help model, analyze, and optimize complex control problems with high precision, enabling better robustness and performance.

• symbolic modelling for multibody dynamics and nonlinear elements
• robust control analysis using polynomial equations and inequalities
• global optimization and design with symbolic algebra

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