International Journal of Systems Science

Fully Actuated System Theory and Applications: New Developments in 2025

In recent years, the high-order fully actuated system (HOFAS) framework has been introduced to address control design challenges in nonlinear systems. The idea of HOFAS originates from second-order mechanical systems. Initially, it was believed that compared to underactuated systems, fully actuated systems were only a minor part of the set of control systems. However, recent research findings indicate that when this concept is mathematically generalized, a HOFAS becomes a general model for control systems. Similar to the system’s state-space model, a HOFAS is a representation form of a control system, and a model designed for control system. Owing to its distinct advantages, the fully actuated system (FAS) approach has garnered increasing attention.

Due to the demands of the control community, the fourth annual conference on fully actuated system theory and applications (FASTA) was held in NanJing on 4-6, July, with over 1040 participants. Through a strict review process, 589 papers were accepted to be presented on this conference.

To further promote FASTA research, this special issue focuses on the latest research results of FASTA. This special issue provides a platform to promote both theory and applications research and to share the latest developments in related fields.. The list of possible topics includes, but is not limited to:

·           Fully Actuated System Control Theory

·           Fully Actuated System Modeling and Control Based on Big Data

·           Intelligent Control Theory and Application

·           Multi-Agent Systems and Distributed Control

·           Fuzzy Control of Fully Actuated Systems

·           Fault Diagnosis and Fault Tolerant Control

·           Robust Control of Fully Actuated systems

·           Discrete Event Dynamic Systems and Hybrid Systems

·           Information Processing and Fusion for Land, Underwater, Aerial, and Space Systems

·           Neural Networks and Deep Learning

·           Nonlinear Control of Fully Actuated Systems

·           Adaptive control and Learning Control

·           Process Control of Fully Actuated Systems

·           Land/Underwater/Aerial/Space vehicles, Construction Machinery Control and Automation

·           Intelligent Manufacturing and Industrial Control

·           Optimization and Decision of Fully Actuated Systems

·           Predictive Control Based on Fully Actuated Systems

·           Navigation and Guidance