An efficient multiple shooting based reduced SQP strategy for large-scale dynamic process optimization. Part 1: theoretical aspects

By D. Leineweber, Irene Bauer, Hans Georg Bock, Johannes P. Schlöder. Computers and Chemical Engineering, 2003

424 citations recorded by the source corpus.

Subfields: Control and Systems Engineering, Numerical Analysis

View Paper: https://www.semanticscholar.org/paper/5563fdd2e76afefb9c9370d5372b6f70949c490a

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In Control and Systems Engineering

In Numerical Analysis

Citations in the corpus

Efficient deterministic multiple objective optimal control of (bio)chemical processes (2009, methodology): “The software package MUSCOD-II (Leineweber et al., 2003a,b), which tackles optimal control problems by a deterministic multiple shooting approach (Bock and Plitt, 1984), is employed to generate the Pareto front for each of the four cases.”
An auto-generated real-time iteration algorithm for nonlinear MPC in the microsecond range (2011, methodology): “Alternatively, single- or multiple shooting discretization methods [6,21,11] can be employed where an integrator is used in order to simulate the dynamic system.”
Learning to Control PDEs with Differentiable Physics (2020, methodology): “In one optimization step, it simulates the full dynamics, then backpropagates the loss through the whole sequence to optimize the controls (Kraft, 1985; Leineweber et al., 2003).”
Modeling and Optimal Control of Human-Like Running (2010, methodology): “This work could only be achieved due to the availability of an efficient optimal control code in the research group in Heidelberg (MUSCOD [ 19 ], [20]) that we coupled to a modeling tool (HuMAnS [21]) able to generate model code to be used in our modeling framework.”
From human to humanoid locomotion—an inverse optimal control approach (2010, methodology): “For the solution of the lower level optimal control problem we have applied the direct boundary value problem approach using multiple shooting developed by Bock and coworkers (MUSCOD Bock and Plitt 1984; Leineweber et al. 2003a, 2003b).”
Robust multi-objective optimal control of uncertain (bio)chemical processes (2011, methodology): “Consequently, most often Interior Point (Wächter, 2002) and partially reduced SQP methods (Leineweber et al., 2003a) are employed for Orthogonal Collocation and Multiple Shooting, respectively.”
ACADO toolkit—An open‐source framework for automatic control and dynamic optimization (2011, methodology): “Similar to dsoa, the proprietary package MUSCOD-II, originally developed by Daniel Leineweber [5], is suitable for solving OCPs.”
Fast Direct Multiple Shooting Algorithms for Optimal Robot Control (2005, positive): “Using the coupling of an e(cid:14)cient tool for generation of optimized robot model equations, HuMAnS, and a state-of-the-art implementation of the direct multiple shooting method, MUSCOD-II, computation times for a (cid:12)ve link robot are in the order of 200 milliseconds per SQP iteration.”