Distributed Model Predictive Control of Switched Nonlinear Systems with Scheduled Mode Transitions

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Distributed model predictive control: A tutorial review and future research directions (2013, unknown): “Speciﬁcally, we review the LMPC design proposed in Mhaskar et al. (2005, 2006) which allows for an explicit characterization of the stability region and guarantees controller feasibility and closed-loop stability.”
Modelling and optimal control for a fed-batch fermentation process (2013, methodology): “Unstructured and nonsegregational models with specific rates of cell growth, metabolite production, and substrate consumption have been used to model fed-batch fermentation [10–12].”
Barrier Lyapunov functions for the output tracking control of constrained nonlinear switched systems (2013, background): “, the continuous stirred tank reactor (CSTR) in [30].”
Koopman Lyapunov‐based model predictive control of nonlinear chemical process systems (2019, methodology): “To this end, we propose to integrate Koopman based linear predictors with Lyapunov-based model predictive control (LMPC) scheme.(26) LMPC is known for its explicit characterization of stability properties and guaranteed closed-loop stabilization of nonlinear systems in the presence of state and inpu”