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State space LPV model identification using LS-SVM: A case-study with dynamic dependence.

, , , and . CCA, page 995-1000. IEEE, (2016)

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Matchable-Observable Linear Models and Direct Filter Tuning: An Approach to Multivariable Identification., and . IEEE Trans. Autom. Control., 62 (5): 2180-2193 (2017)Machine learning barycenter approach to identifying LPV state-space models., , , , and . ACC, page 6351-6356. IEEE, (2016)A grey-box identification approach for a human alertness model., , , , and . CDC, page 3756-3761. IEEE, (2019)Linear multivariable identification using observable state space parameterizations., and . CDC, page 1429-1434. IEEE, (2013)A Load Balance Optimization Approach for the GMT Primary Mirror Support Actuator System., , and . CCTA, page 744-749. IEEE, (2020)Obtaining multivariable continuous-time models from sampled data., , and . ACC, page 140-145. IEEE, (2017)System Identification of Just Walk: Using Matchable-Observable Linear Parametrizations., , , , , , and . IEEE Trans. Control. Syst. Technol., 28 (1): 264-275 (2020)Multivariable system identification using an output-injection based parameterization., , and . ICCA, page 53-58. IEEE, (2011)Direct filter tuning and optimization in multivariable identification., and . CDC, page 1798-1803. IEEE, (2014)Matchable-observable linear models for multivariable identification: Structure selection and experimental results., , and . CDC, page 3391-3396. IEEE, (2015)