Alessandro D'Innocenzo

Associate Professor

University of L'Aquila

Italy

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Alessandro D'Innocenzo is an Associate Professor at the University of L'Aquila, Italy. His research areas include wireless control systems, optimal output-feedback control over Markov channels, and machine learning applications in network management. Recent publications highlight his work on robust control methodologies and stability analysis in complex systems, demonstrating a strong focus on cutting-edge applications in control theory and communication networks.

Articles (15)

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2025

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2024

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2024

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2024

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2024

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2023

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2020

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2020

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2020

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2020

Collaborators (10)

Costanzo Manes

ITALY

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Carlo Cecati

Professor

University of L'Aquila

ITALY

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Vittorio De Iuliis

Assistant Professor (RTDa)

University of L'Aquila

ITALY

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Francesco Smarra

University of L'Aquila

ITALY

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Fabio Graziosi

ITALY

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Yuriy Zacchia Lun

University of L'Aquila

ITALY

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Niko Gentile

Associate Senior Lecturer

Lund University

SWEDEN

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Pierdomenico Pepe

ITALY

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Vincenzo Gattulli

Full Professor

Sapienza University of Rome

ITALY

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Dario Ambrosini

Professor

University of L'Aquila

ITALY

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Alessandro D'Innocenzo

Research Interests

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Articles (15)

Wireless Control With Channel State Detection and Message Dropout Compensation

Optimal Output-Feedback Control Over Markov Wireless Communication Channels

Co-Designing Wireless Networked Control Systems on IEEE 802.15.4-Based Links Under Wi-Fi Interference

Simple Explicit Solution of Finite Control Set Model Predictive Control for Cascaded H-Bridge Inverters

Robust Linear Quadratic Regulation Over Polytopic Time-Inhomogeneous Markovian Channels Under Generalized Packet Dropout Compensation

Neural Network Model-Predictive Control for CHB Converters With FPGA Implementation

Lyapunov Characterizations of Exponential Mean Square Input-to-State Stability for Discrete-Time Markovian Switching Nonlinear Systems

Learning methods for structural damage detection via entropy-based sensors selection

Modeling and Control of Priority Queueing in Software Defined Networks via Machine Learning

Learning lighting models for optimal control of lighting system via experimental and numerical approach

Stability Analysis of Coupled Differential-Difference Systems With Multiple Time-Varying Delays:A Positivity-Based Approach

Data‐driven optimal predictive control of seismic induced vibrations in frame structures

Data-driven switching modeling for MPC using Regression Trees and Random Forests

Learning Models for Seismic-Induced Vibrations Optimal Control in Structures via Random Forests

Stability conditions for linear discrete-time switched systems in block companion form

Collaborators (10)

Costanzo Manes

Carlo Cecati

Vittorio De Iuliis

Francesco Smarra

Fabio Graziosi

Yuriy Zacchia Lun

Niko Gentile

Pierdomenico Pepe

Vincenzo Gattulli

Dario Ambrosini

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