Control System Toolbox


Version 10.6, part of Release 2019a, includes bug fixes.

See the Release Notes for details.

Version 10.5, part of Release 2018b, includes bug fixes.

See the Release Notes for details.

Version 10.4, part of Release 2018a, includes the following enhancements:

  • Particle Filter Simulink Block: Estimate states of nonlinear systems for online tracking and control system design

See the Release Notes for details.

Version 10.3, part of Release 2017b, includes the following enhancements:

  • Gain Scheduling: Implement gain-scheduled controllers using a new library of blocks configured to take scheduled parameters as inputs​
  • Gain Scheduling: Achieve smooth and memory-efficient implementation by turning gain surfaces into embedded equations
  • Gain-Scheduled Controller Tuning: Automatically tune gain-scheduled state observer gain, LQR gain, and other controller architectures expressed as matrices​
  • Gain-Scheduled Controller Tuning: Specify tuning goals that vary with operating condition
  • Particle Filters: Estimate states of nonlinear systems
  • Improved lqg Function: Compute gain matrices and optimal controller in discrete time using current Kalman Filter estimator​

See the Release Notes for details.

Version 10.2, part of Release 2017a, includes the following enhancements:

  • Extended and Unscented Kalman Filter Simulink Blocks: Estimate states of nonlinear systems

See the Release Notes for details.

Version 10.1, part of Release 2016b, includes the following enhancements:

  • Conic Sector Tuning Goal: Tune control systems to enforce fixed or frequency-dependent sector bounds
  • Extended and Unscented Kalman Filters: Estimate states of nonlinear systems

See the Release Notes for details.

Version 10.0, part of Release 2016a, includes the following enhancements:

  • Redesigned Control System Designer App: Design SISO controllers for feedback systems using improved interactive workflows
  • Control System Tuner App and systune Command: Automatically tune single-loop and multiloop control systems to meet design requirements
  • Model Reducer App: Compute and compare reduced-order models using interactive workflows
  • Passivity and Conic Sectors: Analyze and tune control systems for passivity and other sector bounds

See the Release Notes for details.