Benoît Chachuat

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Article is made available in accordance with the publisher's policy and may be subject to US copyright law. Please refer to the publisher's site for terms of use. The MIT Faculty has made this article openly available. Please share how this access benefits you. Your story matters. Abstract. Theory and implementation for the global optimization of a wide(More)
This paper presents a decomposition approach for a quite general class of mixed-integer dynamic optimization problems that is capable of guaranteeing a global solution despite the nonconvexities inherent to the dynamic optimization subproblems. A case study is presented in connection to the optimal design and operation of a batch process consisting of a(More)
This paper presents a branch-and-lift algorithm for solving optimal control problems with smooth nonlinear dynamics and potentially nonconvex objective and constraint functionals to guaranteed global optimality. This algorithm features a direct sequential method and builds upon a generic, spatial branch-and-bound algorithm. A new operation, called lifting,(More)
9.1 Introduction The focus of this chapter is on describing procedures for the optimal design and operation of man-portable power generation processes. For a given power demand, or a power demand varying in a specified range, the design and operation problem is to determine values of the design variables (e.g., sizes of the individual components such as(More)
In this paper, the design of probabilistic observers for mass-balance based bioprocess models is investigated. It is assumed that the probability density of every uncertain parameter, input and/or initial state is known a priori. Then, the probability density of the state variables is obtained, at any time, by considering the image of this initial(More)