In recent trends, artificial intelligence (AI) is used for the creation of complex automated
control systems. Still, researchers are trying to make a completely autonomous system that …

Machine learning has been heavily researched and widely used in many disciplines.
However, achieving high accuracy requires a large amount of data that is sometimes …

This paper develops optimal control protocols for the distributed output synchronization
problem of leader-follower multiagent systems with an active leader. Agents are assumed to …

As one of the three pillars in computational intelligence, fuzzy systems are a powerful
mathematical tool widely used for modelling nonlinear problems with uncertainties. Fuzzy …

This paper proposes an evolutionary-group-based particle-swarm-optimization (EGPSO)
algorithm for fuzzy-controller (FC) design. The EGPSO uses a group-based framework to …

In a complex underwater environment, finding a viable, collision-free path for an
autonomous underwater vehicle (AUV) is a challenging task. The purpose of this paper is to …

The proposed approach in this paper involves a new grid-based map model called “memory
grid” and a new behavior-based navigation method called “minimum risk method”. The …

In this paper, we present a learning method to solve the vehicle overtaking problem, which
demands a multitude of abilities from the agent to tackle multiple criteria. To handle this …

This paper focuses on the design of a dynamic Petri recurrent fuzzy neural network
(DPRFNN), and this network structure is applied to the path-tracking control of a …

This paper focuses on online obstacle avoidance planning for unmanned underwater
vehicles. To improve the autonomous ability and intelligence of obstacle avoidance …