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Intelligent trajectory tracking and formation control of underactuated autonomous underwater vehicles: A critical review
AUV play an important role in the exploration and utilization of the ocean. Underactuated
autonomous underwater vehicles (AUVs) are widely used in these missions due to the …
autonomous underwater vehicles (AUVs) are widely used in these missions due to the …
Cooperative game-based approximate optimal control of modular robot manipulators for human–robot collaboration
Major challenges of controlling human–robot collaboration (HRC)-oriented modular robot
manipulators (MRMs) include the estimation of human motion intention while cooperating …
manipulators (MRMs) include the estimation of human motion intention while cooperating …
[HTML][HTML] Unleashing the power of artificial intelligence for climate action in industrial markets
Artificial Intelligence (AI) is a game-changing capability in industrial markets that can
accelerate humanity's race against climate change. Positioned in a resource-hungry and …
accelerate humanity's race against climate change. Positioned in a resource-hungry and …
Programming-based optimal learning sliding mode control for cooperative dual ship-mounted cranes against unmatched external disturbances
When lifting and transporting large payloads in the marine environment, the dual ship-
mounted crane system plays a very important role for cargos transportation, which exhibits …
mounted crane system plays a very important role for cargos transportation, which exhibits …
Input-limited optimal control for overhead cranes with payload hoisting/lowering and double pendulum effects
As an underactuated system, the overhead crane is widely used to transport cargoes in
industry according to its flexibility and lifting capacity. Many control strategies are designed …
industry according to its flexibility and lifting capacity. Many control strategies are designed …
Optimized data-driven prescribed performance attitude control for actuator saturated spacecraft
This article addresses the crucial requirements in spacecraft attitude control: prescribed
performance guarantees under actuator saturation and real-time cost optimization. As an …
performance guarantees under actuator saturation and real-time cost optimization. As an …
Nearly optimal stabilization of unknown continuous-time nonlinear systems: A new parallel control approach
This paper develops a novel online nearly optimal control (ONOC) method for unknown
continuous-time (CT) nonaffine nonlinear systems without recovering unknown systems …
continuous-time (CT) nonaffine nonlinear systems without recovering unknown systems …
An adaptive approach to whole-body balance control of wheel-bipedal robot Ollie
The wheel-bipedal robot has the advantages of both wheeled robots and legged robots, but
as a cost, it is more challenging to perform flexible movements in various surroundings while …
as a cost, it is more challenging to perform flexible movements in various surroundings while …
ADP-based intelligent tracking algorithm for reentry vehicles subjected to model and state uncertainties
This article presents an adaptive dynamic programming-based intelligent control algorithm
for the attitude tracking issue of reentry vehicles subject to model and state uncertainties …
for the attitude tracking issue of reentry vehicles subject to model and state uncertainties …
Event-triggered impulsive control design for synchronization of inertial neural networks with time delays
This paper investigates the synchronization problem of inertial neural networks (INNs) with
time delays by virtue of event-triggered (ET) impulsive control, in which a Lyapunov function …
time delays by virtue of event-triggered (ET) impulsive control, in which a Lyapunov function …