The main research works includes: Firstly, a load balancing model is proposed for distributed controllers.
This method is aimed for realizing a tight design for distributed controllers so that a better performance of the total system can be gained.
This paper is concerned with a bicriteria combinatorial optimization problem and its applications to the design of communication networks for distributed controllers.
In order to stabilize this class of systems, distributed dynamic output feedback controllers are considered, and tractable linear matrix inequality (LMI -based aLMI -basedfor the derivalgorithmsistributed controllers are presented.
This method has been explicitly developed to preserve the system sparsity, a property that is particularly important when dealing with the analysis and design of distributed controllers for large-scale systems.
Both problems are formalised as model-driven information coupling of distributed controllers, implicit for the micro, and explicit for the macro-ecosystems.
Then, by using the invertibility of restricted equivalent relations, a constructive method for designing distributed controller is presented which also yields an explicit admissible solution for the generalized algebraic Riccati equation.
Some dynamic neighbor-based rules, consisting of distributed controllers and observers for the autonomous agents, are developed to keep updating the information of the leader.
A novel concept for a systematic design procedure of a distributed controller network for global control of a sewer network is proposed.
This gives motivation for the presented distributed controller design method which requires communication and the exchange of model data only with direct neighbors.
