Beside the hardware a detailed description of the redundancy management is given, which is the software operating the redundant controller.
Centralized, reliable decentralized, and reliable overlapping active control strategies are proposed using parallel redundancy of controllers and linear quadratic Gaussian (LQG) control design.
While the multi-loop stabilizing controllers need to be built with redundancy, the DUS controller is inherently fault tolerant and can maintain closed-loop stability when any of its loops fail.
Using this flexible redundancy architecture, the controller can be optimally configured to the application area, and the reliability and availability of the overall system can be increased because redundancy model varies as failures occur.
To meet a high reliability requirement, various redundancy techniques such as controller redundancy, bus redundancy and network redundancy are used to design the system hardware architecture.
Finally, the virtue of redundancy and its exploitation by multiple controllers are discussed.
Additionally, the router detects failures that that are covered by standard CAN controllers (e.g., cyclic redundancy check (CRC) failures, bit-stuffing failures).
Moreover, computation requirement of each controller is reduced, and the redundancy and modularity of the system is improved [22, 23].
To allow the controller to compensate for a fault, the system must exhibit certain redundancies.
The mission controllers switched to the other computer — the rover contains two for redundancy — and it will take several days before the rover resumes its scientific work.
Then the rules with high inconsistency and redundancy levels are removed from the fuzzy rule base without affecting the overall performance of the controller.
