in this paper, the problem of decentralized model reference adaptive control (mrac) for a class of large scale systems with time varying delay in interconnected term and input and state delays is studied. to compensate the effect of input delay indirectly, a smith predictor built on. to handle the effects of the time delays in input, the adaptive controller part includes two auxiliary dynamic f...

<p style='text-indent:20px;'>Feature selection is a valuable tool in supervised machine learning research fields, such as pattern recognition or classification problems. Feature used to eliminate irrelevant and noise features that adversely affect results. Swarm algorithms are usually feature problem; these need transfer functions change search space from continuous the discrete. However,...

The formation of network structure is mainly influenced by an individual node’s activity and its memory, where activity can usually be interpreted as the individual inherent property and memory can be represented by the interaction strength between nodes. In our study, we define the activity through the appearance pattern in the time-aggregated network representation, and quantify the memory th...

The formation of multi-quadrotor UAVs (QUAVs) in long flights will encounter many constraints and obstacles the flight process, so it is necessary to change shape avoid these constraints. When path QUAVs individually optimized, multiple individual dynamic problems be faced, making solution complicated spending a time. In this paper, as whole instead individuals considering QUAVs, regarded rigid...