IEEE

State and Input Constrained Model Reference Adaptive Control With Robustness and Feasibility Analysis

Abstract: We propose a model reference adaptive controller (MRAC) for uncertain linear time-invariant (LTI) plants with user-defined state and input constraints in the presence of unmatched bounded ...
Planetizen

AI promises to finally make public engagement meaningful. We put it to the test.

Everything you need to know about how we analyzed the 13,000+ comments submitted in the federal government’s request for ...
GitHub

Neural Iterative Selection Expansion (NISE) using LASErMPNN/LigandMPNN with Boltz-1x/Boltz-2x

Introduced in the paper Zero-shot design of drug-binding proteins via neural selection-expansion! Check out our interactive Google Colab notebook to get acquainted with the protocol. Novel ...
IEEE

Input-Output Variation Driven Gain Observer for Ultra-Local-Model-Based Predictive Control of PMSMs without Dependence on Electrical Parameters

Abstract: Model-free predictive control (MFPC) based on ultra-local model (ULM) is characterized by enhanced robustness to parameter mismatches. However, the selection of control gains, actually, ...