Version 9.11, part of Release 2019b, includes the following enhancements:

  • Live Editor Tasks: Interactively perform state-space and process model identification tasks and generate MATLAB code in a live script
  • Residuals for Extended and Unscented Kalman Filters: Calculate residuals and residual covariances of filter predictions

See the Release Notes for details.

Version 9.1.0, part of Release 2019a, includes bug fixes.

See the Release Notes for details.

Version 9.9, part of Release 2018b, includes the following enhancements:

  • Online Parameter Estimation: Use recursive model blocks in Simulink with batch data

See the Release Notes for details.

Version 9.8, 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 9.7, part of Release 2017b, includes the following enhancements:

  • Particle Filters: Estimate states of nonlinear systems for online tracking and control system design​

See the Release Notes for details.

Version 9.6, part of Release 2017a, includes the following enhancements:

  • Extended and Unscented Kalman Filter Simulink Blocks: Estimate states of nonlinear systems for online tracking and control system design
  • fmincon Solver: Use constrained minimization methods for model estimation​

See the Release Notes for details.

Version 9.5, part of Release 2016b, includes the following enhancements:

  • Standalone Applications for System Identification: Deploy data preparation and model estimation code using MATLAB Compiler
  • Extended and Unscented Kalman Filters: Estimate states of nonlinear systems for online tracking and control system design​
  • Frequency-Domain Identification Improvements: Identify transfer function models faster and more accurately from frequency-response data​

See the Release Notes for details.

Version 9.4, part of Release 2016a, includes the following enhancements:

  • Improved Time-Series Forecasting: Forecast linear and nonlinear model output

See the Release Notes for details.