9 citations · 15 across the 8 of their papers we have counts for
6 papers · 1 filter
A Block-Alternating Iterative Approach for a Class of Non-Convex Optimization Problems
Anran Li, John P. Swensen, Mehdi Hosseinzadeh
Constrained non-convex optimization problems frequently arise in control applications. Solving such problems is inherently challenging, as existing methods often converge to subopt…
REAP-T: A MATLAB Toolbox for Implementing Robust-to-Early Termination Model Predictive Control
Mohsen Amiri, Mehdi Hosseinzadeh
This paper presents a MATLAB toolbox for implementing robust-to-early termination model predictive control, abbreviated as REAP, which is designed to ensure a sub-optimal yet feasi…
Robust Steady-State-Aware Model Predictive Control for Systems with Limited Computational Resources and External Disturbances
Hassan Jafari Ozoumchelooei, Mehdi Hosseinzadeh
Model Predictive Control (MPC) is a powerful control strategy; however, its reliance on online optimization poses significant challenges for implementation on systems with limited…
Provably-Stable Neural Network-Based Control of Nonlinear Systems
Anran Li, John P. Swensen, Mehdi Hosseinzadeh
In recent years, Neural Networks (NNs) have been employed to control nonlinear systems due to their potential capability in dealing with situations that might be difficult for conv…
A Guaranteed-Stable Neural Network Approach for Optimal Control of Nonlinear Systems
Anran Li, John P. Swensen, Mehdi Hosseinzadeh
A promising approach to optimal control of nonlinear systems involves iteratively linearizing the system and solving an optimization problem at each time instant to determine the o…
Practical Considerations for Implementing Robust-to-Early Termination Model Predictive Control
Mohsen Amiri, Mehdi Hosseinzadeh
Model Predictive Control (MPC) is widely used to achieve performance objectives, while enforcing operational and safety constraints. Despite its high performance, MPC often demands…