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🔍 alec jacobson 📂 Engineering
Showing 398 results for "alec jacobson" in Engineering
Engineering Preprint PDF DOI

Reference-Augmented Learning for Precise Tracking Policy of Tendon-Driven Continuum Robots

Ziqing Zou, Ke Qiu, Haojian Lu, Rong Xiong, Yue Wang · 2026

Tendon-Driven Continuum Robots (TDCRs) pose significant control challenges due to their highly nonlinear, path-dependent dynamics and non-Markovian characteristics. Traditional Jacobian-based controll…

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Engineering Preprint PDF DOI

Learning-Based Dynamics Modeling and Robust Control for Tendon-Driven Continuum Robots

Ziqing Zou, Ke Qiu, Fei Wang, Haojian Lu, Rong Xiong, Yue Wang · 2026

Tendon-Driven Continuum Robots (TDCRs) pose significant modeling and control challenges due to complex nonlinearities, such as frictional hysteresis and transmission compliance. This paper proposes a …

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Engineering Preprint PDF DOI

Extracting Exact Lie Derivatives Without Backpropagation: A Dual Compiler for Neural Control Barrier Functions

Mohammadreza Kamaldar · 2026

Deploying neural-network control barrier functions (CBFs) on embedded hardware requires evaluating the barrier value and its Lie derivatives along the system vector fields at every control cycle. The …

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Engineering Preprint PDF DOI

Unsupervised Learning for AC Optimal Power Flow with Fast Physics-Aware Layer

Jiebao Zhang, Haoyu Yan, Haoyu Wang, Ye Shi, Zhichao Sheng, Hongwen Yu, Shuang Ye, Zhifang Yang · 2026

Learning to solve the Alternating Current Optimal Power Flow (AC-OPF) problem by neural networks (NNs) is a promising approach in real-time applications. Existing methods to ensure the physical feasib…

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Engineering Preprint PDF DOI

Singularity Avoidance in Inverse Kinematics: A Unified Treatment of Classical and Learning-based Methods

Vishnu Rudrasamudram, Hariharasudan Malaichamee · 2026

Singular configurations cause loss of task-space mobility, unbounded joint velocities, and solver divergence in inverse kinematics (IK) for serial manipulators. No existing survey bridges classical si…

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Engineering Preprint PDF DOI

Localization and Reshaping of Non-Minimum-Phase Zeros in Multi-Converter Systems

Ailixier Yaermaimaiti, Jiaxin Wang, Yunjie Gu, Huanhai Xin · 2026

Non-minimum-phase (NMP) zeros in multi-converter power systems impose bandwidth ceilings on feedback control, yet quantifying them at the system level has been impractical because commercial converter…

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Engineering Preprint PDF DOI

Tensor-based Multi-layer Decoupling

Joppe De Jonghe, Konstantin Usevich, Philippe Dreesen, Mariya Ishteva · 2026

The decoupling of multivariate functions is a powerful modeling paradigm for learning multivariate input-output relations from data. For the single-layer case, established CPD-based methods are availa…

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Engineering Preprint PDF DOI

Stability and Robustness of Tensor-Coupled Flow-Conservation Dynamical Systems on Hypergraphs

Chencheng Zhang, Hao Yang, Bin Jiang, Shaoxuan Cui · 2026

This paper develops an entropy-based stability and robustness framework for nonlinear hypergraph dynamics with conservation and flow balance. We consider generator-form systems on the simplex whose st…

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Engineering Preprint PDF DOI

Natural Gradient Gaussian Approximation Filter with Positive Definiteness Guarantee

Tianyi Zhang, Wenhan Cao, Shengbo Eben Li · 2026

Popular Bayes filters often apply linearization techniques, such as Taylor expansion or stochastic linear regression, to enable the use of the Kalman filter structure, but this can lead to large error…

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Engineering Preprint PDF DOI

Memory-efficient optimization of implicit neural representations for CT reconstruction

Mahrokh Najaf, Gregory Ongie · 2026

Implicit neural representations (INRs) provide a parameter-efficient and fully differentiable image model for CT reconstruction. However, optimizing INRs for CT reconstruction using standard auto-diff…

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Engineering Preprint PDF DOI

Local Sensitivity Analysis for Kernel-Regularized ARX Predictors in Data-Driven Predictive Control

Aihui Liu, Magnus Jansson · 2026

We study local sensitivity of structured ARX-based data-driven predictive control. Although predictor estimation is linear in the ARX parameters, the lifted multi-step predictor used in MPC depends on…

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Engineering Preprint PDF DOI

LACE-S: Toward Sensitivity-consistent Locational Average Carbon Emissions via Neural Representation

Young-ho Cho, Min-Seung Ko, Hao Zhu · 2026

Carbon-aware grid optimization relies on accurate locational emission metrics to effectively guide demand-side decarbonization tasks such as spatial load shifting. However, existing metrics are only v…

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Engineering Preprint PDF DOI

Nonlinear Model Updating of Aerospace Structures via Taylor-Series Reduced-Order Models

Nikolaos D. Tantaroudas, Jake Hollins, Konstantinos Agathos, Evangelos Papatheou · 2026

Finite element model updating is a mature discipline for linear structures, yet its extension to nonlinear regimes remains an open challenge. This paper presents a methodology that combines nonlinear …

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Engineering Preprint PDF DOI

A Wirtinger Power Flow Jacobian Singularity Condition for Voltage Stability in Converter-Rich Power Systems

Ahmed Mesfer Alkhudaydi, Bai Cui · 2026

The progression of modern power systems towards converter-rich operations calls for new models and analytics in steady-state voltage stability assessment. The classic modeling assumption of the genera…

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Engineering Preprint PDF DOI

A virtual-variable-length method for robust inverse kinematics of multi-segment continuum robots

Weiting Feng, Federico Renda, Yunjie Yang, Francesco Giorgio-Serchi · 2026

This paper proposes a new, robust method to solve the inverse kinematics (IK) of multi-segment continuum manipulators. Conventional Jacobian-based solvers, especially when initialized from neutral/res…

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Engineering Preprint PDF DOI

Nonlinear Moving-Horizon Estimation Using State- and Control-Dependent Models

Mohammadreza Kamaldar · 2026

This paper presents a state- and control-dependent moving-horizon estimation (SCD-MHE) algorithm for nonlinear discrete-time systems. Within this framework, a pseudo-linear representation of nonlinear…

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Engineering Preprint PDF DOI

A coupled Aeroelastic-Flight Dynamic Framework for Free-Flying Flexible Aircraft with Gust Interactions

Nikolaos D. Tantaroudas, Ilias Karachalios · 2026

A complete, self-contained mathematical framework for modelling the coupled aeroelastic and flight dynamic behaviour of free-flying flexible aircraft subject to atmospheric gust encounters is presente…

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Engineering Preprint PDF DOI

Identifiability in Blind Source Separation through Stabilizer Shrinkage: Unifying Non-Gaussianity and Observation Diversity

Tomomi Ogawa, Hiroki Matsumoto · 2026

Identifiability is a central issue in blind source separation (BSS), determining whether latent sources can be uniquely recovered from observed mixtures. Classical approaches address identifiability e…

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Engineering Preprint PDF DOI

Task-Specified Compliance Bounds for Humanoids via Lipschitz-Constrained Policies

Zewen He, Yoshihiko Nakamura · 2026

Reinforcement learning (RL) has demonstrated substantial potential for humanoid bipedal locomotion and the control of complex motions. To cope with oscillations and impacts induced by environmental in…

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Engineering Preprint PDF DOI

Nonlinear Model Order Reduction for Coupled Aeroelastic-Flight Dynamic Systems

Nikolaos D. Tantaroudas, Ilias Karachalios · 2026

A systematic approach to nonlinear model order reduction (NMOR) of coupled fluid-structureflight dynamics systems of arbitrary fidelity is presented. The technique employs a Taylor series expansion of…

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