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.

Version 9.3, part of Release 2015b, includes the following enhancements:

  • Online Parameter Estimation Commands: Implement and deploy recursive estimators with MATLAB Compiler or MATLAB Coder
    Watch video1:58
  • Bayesian and Akaike Information Criteria (BIC and AIC) Metrics: Compare identified models and select orders

See the Release Notes for details.