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  1. Control System Toolbox provides algorithms and apps for analyzing, designing, and tuning linear control systems in MATLAB. You can create models, visualize behavior, tune controllers, and validate designs for various applications and domains.

  2. Design, test, and implement control systems with MATLAB and Simulink. Use block diagrams, system identification, data-driven techniques, optimization, and AI-based methods to model, analyze, and tune plant dynamics and feedback compensators.

  3. Design, test, and implement control systems with MATLAB and Simulink. Use block diagrams, system identification, data-driven techniques, optimization, and AI-based methods to model, analyze, and tune plant dynamics and feedback compensators.

  4. Learn how to use MATLAB and Simulink for control system development, from plant modeling to code generation. Explore examples, videos, and customer stories of control design software applications.

  5. Learn essential control systems skills for automation, robotics, and intelligent system design with courses from top universities and industry leaders. Explore topics such as dynamic systems, digital systems, model-based systems engineering, and more.

  6. ETAP is a software that integrates the analysis of power and control circuits within one electrical analysis program. It can simulate complex control logic, operation sequence, pickup and dropout voltages, power losses, and more.

  7. Learn about control systems for automation, process manufacturing and industrial applications. Find articles, resources and solutions for hardware and software, such as PLCs, PACs, DCS, SCADA, PID, APC and more.