The strategy is based on pinning control: single controller is designed to pin the whole network and realize synchronization.
Unlike the most commonly used switching stabilization control methods, the strategy presented here features a single controller for motion control in the whole motion space.
Unlike the most commonly used switching control method, ours features a single controller for both swing-up and balancing control.
Also, this approach only uses a single controller to achieve chaos control, which reduces the cost and complexity of implementation.
A single controller is able to control both technologies by using multiple interfaces.
And it uses a single controller to accomplish the motion control objective of the acrobot.
The algorithm provides single controller for the problem of control of uncertain MIMO system that approaches the performance of a controller designed for perfectly known parameters within the whole range of the system's parameters uncertainty.
Researchers have concentrated in developing integrated design techniques where a single controller is designed to provide satisfactory control of the rigid modes, and vibration suppression of the structural modes.
This approach needs only a single controller to realize anti-synchronization. Furthermore, an adaptive control method for anti-synchronization of uncertain Chua's chaotic system is proposed.
A single controller is designed at the bottom level, where the physical control signals reside, that simultaneously meets both the top and bottom-level goals.
Then, instead of a single controller, a set of independent controllers can be designed to achieve the overall control of large-scale system [4].
