Control System Design and Analysis
Control System Engineers use MATLAB and Simulink at all stages of development- from plant modeling to designing and tuning control algorithms and supervisory logic, all the way to deployment with automatic code generation and system verification, validation and test.
These MathWorks products helps you seamlessly design, test and deploy control algorithms:
- Control System Toolbox- Design and analyze control systems
- System Identification Toolbox- Create linear and non-linear dynamic system models from measured input-output data.
- Predictive Maintenance Toolbox- Design and test condition monitoring and predictive maintenance algorithms.
- Robust Control Toolbox- Design robust controllers for uncertain plants
- Model Predictive Control Toolbox- Design and Simulate model predictive controllers
- Fuzzy Logic Toolbox- Design and simulate fuzzy logic systems
- Simulink Control Design- Linearize models and design control systems
- Simulink Design Optimization- Analyze model sensitivity and tune model parameters
- Reinforcement Learning Toolbox- Design and train policies using reinforcement learning.
- Motor Control Blockset- Design and implement motor control algorithms.