Brunovsky Riccati Recursion for Linear Model Predictive Control

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Requirements for pointing accuracy in Earth observation missions have tightened tolerable microvibration levels on satellites. Various mitigation techniques, including active, passive, and hybrid methods, have been proposed to prevent microvibration propag ...

We present and analyze a simple numerical method that diagonalizes a complex normal matrix A by diagonalizing the Hermitian matrix obtained from a random linear combination of the Hermitian and skew-Hermitian parts of A. ...

Non-regular or irregular statistical problems are those that do not satisfy a set of standard regularity conditions that allow useful theoretical properties of inferential procedures to be proven. Non-regular problems are prevalent; a classical example is ...

In this paper, we describe a numerical framework for achieving passive thermal cloaking of arbitrary shapes in both static and transient regimes. The design strategy is cast as the solution of an optimal control problem (OCP) for the heat equation where th ...

We propose a framework for the stability verification of Mixed-Integer Linear Programming (MILP) representable control policies. This framework compares a fixed candidate policy, which admits an efficient parameterization and can be evaluated at a low comp ...

As we transition toward the deployment of data-driven controllers for black-box cyberphysical systems, complying with hard safety constraints becomes a primary concern. Two key aspects should be addressed when input-output data are corrupted by noise: how ...

Model predictive control (MPC) strategies can be applied to the coordination of energy hubs to reduce their energy consumption. Despite the effectiveness of these techniques, their potential for energy savings are potentially underutilized due to the fact ...

From the computational point of view, musculoskeletal control is the problem of controlling high degrees of freedom and dynamic multi-body system that is driven by redundant muscle units. A critical challenge in the control perspective of skeletal joints w ...

This paper considers the multi-agent linear least-squares problem in a server-agent network architecture. The system comprises multiple agents, each with a set of local data points. The agents are connected to a server, and there is no inter-agent communic ...

Brunovsky Riccati Recursion for Linear Model Predictive Control

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Adaptive Disturbance Rejection with Data-driven LPV Control for Hybrid Microvibration Isolation Systems

A simple, randomized algorithm for diagonalizing normal matrices

Non-regular Inference: Universal Inference and Discrete Profiling

An optimal control strategy to design passive thermal cloaks of arbitrary shape

Stability Verification of Neural Network Controllers using Mixed-Integer Programming

Near-Optimal Design of Safe Output-Feedback Controllers From Noisy Data

Distributed model predictive control of buildings and energy hubs

Optimum trajectory learning in musculoskeletal systems with model predictive control and deep reinforcement learning

Iterative pre-conditioning for expediting the distributed gradient-descent method: The case of linear least-squares problem