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A Dynamical Systems Model for Understanding Behavioral Interventions for Weight Loss.

, , and . SBP, volume 6007 of Lecture Notes in Computer Science, page 170-179. Springer, (2010)

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The importance of behavior theory in control system modeling of physical activity sensor data., , and . EMBC, page 6880-6883. IEEE, (2014)A Model Predictive Control framework for robust management of multi-product, multi-echelon demand networks., , , , and . Annu. Rev. Control., 27 (2): 229-245 (2003)An interactive software tool for system identification., , , and . Adv. Eng. Softw., 45 (1): 115-123 (2012)Optimization-based design of plant-friendly multisine signals using geometric discrepancy criteria., , , and . Comput. Optim. Appl., 38 (1): 173-190 (2007)A novel model predictive control algorithm for supply chain management in semiconductor manufacturing., , and . ACC, page 208-213vol.1. IEEE, (2005)Idiographic Dynamic Modeling for Behavioral Interventions with Mixed Data Partitioning and Discrete Simultaneous Perturbation Stochastic Approximation., , , and . ACC, page 283-288. IEEE, (2023)LPV system identification using a separable least squares support vector machines approach., , , , , and . CDC, page 2548-2554. IEEE, (2014)Data-centric input signal design for highly interactive dynamical systems., and . CDC, page 1023-1028. IEEE, (2014)Towards data-centric input signal design using sparse polynomial optimization., and . CDC, page 1893-1898. IEEE, (2014)Model-on-Demand predictive control for nonlinear hybrid systems with application to adaptive behavioral interventions., and . CDC, page 6113-6118. IEEE, (2010)