Robust Hybrid Controller Design for Batch Processes with Time Delay and Its Application in Industrial Processes

2019 ◽  
Vol 17 (11) ◽  
pp. 2881-2894 ◽  
Author(s):  
Weiyan Yu ◽  
Jiang Song ◽  
Jingxian Yu
2018 ◽  
Vol 69 ◽  
pp. 138-157 ◽  
Author(s):  
Yiteng Shen ◽  
Limin Wang ◽  
Jingxian Yu ◽  
Ridong Zhang ◽  
Furong Gao

2021 ◽  
Vol 2021 ◽  
pp. 1-10
Author(s):  
Yonggang Ma ◽  
Junmei Liu ◽  
Jiao Ai

Genetic regulatory networks (GRNs) play an important role in the development and evolution of the biological system. With the rapid development of DNA technology, further research on GRNs becomes possible. In this paper, we discuss a class of time-delay genetic regulatory networks with external inputs. Firstly, under some reasonable assumptions, using matrix measures, matrix norm inequalities, and Halanay inequalities, we give the global dissipative properties of the solution of the time-delay genetic regulation networks and estimate the parameter-dependent global attraction set. Secondly, an error feedback control system is designed for the time-delay genetic control networks. Furthermore, we prove that the estimation error of the model is asymptotically stable. Finally, two examples are used to illustrate the validity of the theoretical results.


2021 ◽  
Vol 20 ◽  
pp. 257-263
Author(s):  
Altug Iftar

Decentralized controller design using overlapping decompositions is considered for descriptor-type systems with distributed time-delay. The approach is based on the principle of extension. In this approach, a given large-scale system is decomposed overlappingly into a number of subsystems and expanded such that the overlapping parts appear as disjoint. A decentralized controller is then designed for the expanded system. This controller is then contracted for implementation on the original system. It is shown that if the decentralized controllers are designed to stabilize the expanded system and to achieve certain performance, then the contracted controller, which would have an overlapping decentralized structure, will stabilize the original system and will achieve corresponding performance


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