14 citations · 19 across the 23 of their papers we have counts for
6 papers · 1 filter
A Time-certified Predictor-corrector IPM Algorithm for Box-QP
Liang Wu, Yunhong Che, Richard D. Braatz +1
Minimizing both the worst-case and average execution times of optimization algorithms is equally critical in real-time optimization-based control applications such as model predict…
Highly Efficient Optimal Control for Lyophilization via Simulation of Discrete/Continuous Mixed-index Differential-algebraic Equations
Prakitr Srisuma, Richard D. Braatz
This article presents a highly efficient optimal control algorithm and policies for lyophilization (also known as freeze drying). The optimal solutions and control policies are der…
A Quadratic Programming Algorithm with Time Complexity
Liang Wu, Richard D. Braatz
Solving linear systems and quadratic programming (QP) problems are both ubiquitous tasks in the engineering and computing fields. Direct methods for solving systems, such as Choles…
Perturbed Gradient Descent Algorithms are Small-Disturbance Input-to-State Stable
Leilei Cui, Zhong-Ping Jiang, Eduardo D. Sontag +1
This article investigates the robustness of gradient descent algorithms under perturbations. The concept of small-disturbance input-to-state stability (ISS) for discrete-time nonli…
Arbitrarily Small Execution-Time Certificate: What was Missed in Analog Optimization
Liang Wu, Ambrose Adegbege, Yongduan Song +1
Numerical optimization (solving optimization problems using digital computers) currently dominates but has three major drawbacks: high energy consumption, poor scalability, and lac…
Time-certified Input-constrained NMPC via Koopman Operator
Liang Wu, Krystian Ganko, Richard D. Braatz
Determining solving-time certificates of nonlinear model predictive control (NMPC) implementations is a pressing requirement when deploying NMPC in production environments. Such a…