← Back to Research Radar
Scientific Literature Scientific Literature

Constrained adaptive-neural fixed-time sliding-mode control for underactuated autonomous underwater vehicle with output constraints and saturated actuators

Amir Naderolasli
August 10, 2026
Published Date

Research Abstract & Technology Focus

In the constrained adaptive-neural fixed-time sliding mode control problem for an underactuated autonomous underwater vehicle with output constraints and saturated actuators, the system output variables, control signals, and constrained errors are given for future research by the authors and researchers.
Read Full Literature

Correlated Market Trend: Actuator

Bridging academia to market: The 60-day public search velocity mapping directly to the core technology of this paper. Dashed line represents 7-day moving average.

AI Semantic Synergy Context

Connecting this academic literature to real-world market discussions and products.

openalex.org › research concept
26%

Adaptive Fixed-Time Sliding Mode Tracking Control of Underactuated AUVs with Flexible Prescribed Performance

This paper proposes a fixed-time nonsingular terminal sliding mode control (FXTNTSMC) method for underactuated autonomous underwater vehicles (AUVs) under uncertain dynamics and flexible prescribed...

openalex.org › research concept
0%

Allocation Integrated Sliding Mode Control for Heading Autonomous Underwater Vehicles with Varying Speeds

This paper addresses the challenge of robust heading control for Autonomous Underwater Vehicles (AUVs) operating under variable speed conditions, subject to system nonlinearities, parametric uncert...

openalex.org › research concept
0%

Predefined-Time Terminal Sliding Mode Trajectory Tracking Control for Autonomous Underwater Vehicle with Unknown External Disturbance

Considering trajectory tracking control for autonomous underwater vehicles (AUVs) with unknown external disturbances, this paper presents a novel predefined-time terminal sliding mode control metho...

openalex.org › research concept
0%

Deep Reinforcement Learning-Based Path-Following Control for Underactuated Autonomous Underwater Vehicles

Autonomous Underwater Vehicles (AUVs) face significant challenges in path-following control due to strong environmental disturbances and model uncertainties. To address these issues, this paper pro...

openalex.org › research concept
0%

Adaptive Data-Driven Control of Autonomous Underwater Vehicles: Bridging the Gap Between Simulation and Experimental Baseline via LSTM-MPC

This study proposes a robust data-driven control framework, LSTM-MPC, designed to enhance the velocity stabilization of Autonomous Underwater Vehicles (AUVs) operating under stochastic marine distu...

Frequently Asked Questions (FAQ)

Curated market intelligence mapped to this research.

What is the core focus of the research titled 'Constrained adaptive-neural fixed-time sliding-mode control for underactuated autonomous underwater vehicle with output constraints and saturated actuators'?

This literature focuses on: In the constrained adaptive-neural fixed-time sliding mode control problem for an underactuated autonomous underwater vehicle with output constraints and saturated actuators, the system output variables, control signals, and constrained errors are...

What other academic literature is closely related to 'Constrained adaptive-neural fixed-time sliding-mode control for underactuated autonomous underwater vehicle with output constraints and saturated actuators'?

Yes, highly correlated activity was mapped. An entry titled 'Adaptive Fixed-Time Sliding Mode Tracking Control of Underactuated AUVs with Flexible Prescribed Performance' discusses this: This paper proposes a fixed-time nonsingular terminal sliding mode control (FXTNTSMC) method for underactuated autonomous underwater vehicles (AUVs...

Cite this Market Intelligence Report

Reference our AI-mapped synergy between this research and the commercial market to instantly build authority.