Matthias Gerdts

Bundeswehr University Munich

Germany

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Articles (12)

Deep Learning as a New Framework for Passive Vehicle Safety Design Using Finite Elements Models Data

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Year:

2024

Computationally Efficient Minimum-Time Motion Primitives for Vehicle Trajectory Planning

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Year:

2024

Multi-Agent Dynamic Scheduling With a Posteriori Path Tracking and Collision Avoidance Using Model Predictive Control

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Year:

2023

Sensor-Model-Based Trajectory Optimization for UAVs to Enhance Detection Performance: An Optimal Control Approach and Experimental Results

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Year:

2023

A Function Approximation Approach for Parametric Optimization

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Year:

2023

Multi-Agent Dynamic Scheduling With a Posteriori Path Tracking and Collision Avoidance Using Model Predictive Control

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Year:

2023

Flight Envelope Prediction via Optimal Control-Based Reachability Analysis

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Year:

2022

Computationally Efficient Trajectory Generation for Smooth Aircraft Flight Level Changes

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Year:

2021

Newton‐based extremum seeking of higher‐derivative maps with time‐varying delays

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Year:

2021

Convergence Analysis for Approximations of Optimal Control Problems Subject to Higher Index Differential-Algebraic Equations and Pure State Constraints

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Year:

2021

Computation of avoidance regions for driver assistance systems by using a Hamilton‐Jacobi approach

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Year:

2020

Convergence Analysis for Approximations of Optimal Control Problems Subject to Higher Index Differential-Algebraic Equations and Mixed Control-State Constraints

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Year:

2020

Collaborators (3)

Peter Stütz

Bundeswehr University Munich

GERMANY

Patricia Alonso de Apellániz

Assistant Professor

Universidad Politécnica de Madrid

SPAIN

Francesco Biral

Associate Professor

Università degli Studi di Torino

ITALY

Matthias Gerdts

Research Interests

Explore related searches

Contact this professor

Articles (12)

Deep Learning as a New Framework for Passive Vehicle Safety Design Using Finite Elements Models Data

Computationally Efficient Minimum-Time Motion Primitives for Vehicle Trajectory Planning

Multi-Agent Dynamic Scheduling With a Posteriori Path Tracking and Collision Avoidance Using Model Predictive Control

Sensor-Model-Based Trajectory Optimization for UAVs to Enhance Detection Performance: An Optimal Control Approach and Experimental Results

A Function Approximation Approach for Parametric Optimization

Multi-Agent Dynamic Scheduling With a Posteriori Path Tracking and Collision Avoidance Using Model Predictive Control

Flight Envelope Prediction via Optimal Control-Based Reachability Analysis

Computationally Efficient Trajectory Generation for Smooth Aircraft Flight Level Changes

Newton‐based extremum seeking of higher‐derivative maps with time‐varying delays

Convergence Analysis for Approximations of Optimal Control Problems Subject to Higher Index Differential-Algebraic Equations and Pure State Constraints

Computation of avoidance regions for driver assistance systems by using a Hamilton‐Jacobi approach

Convergence Analysis for Approximations of Optimal Control Problems Subject to Higher Index Differential-Algebraic Equations and Mixed Control-State Constraints

Collaborators (3)

Peter Stütz

Patricia Alonso de Apellániz

Francesco Biral

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