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Unlike the most commonly used switching control method, ours features a single controller for both swing-up and balancing control.
The control system consists of one-fuzzy coordination controller for both cylinders and an individual cylinder controller, comprised of a feedforward controller, and a fuzzy tracking controller, for each of the hydraulic cylinders.
Numerical simulations show that the precise attitude and vibration suppression can be accomplished using the derived controller for both cases with and without adaptive control.
We have used the same controller for both systems, based on simple custom-built electronic boards.
Coming soon, it can be used as a standard electric guitar and as a controller for both Guitar Hero and Rock Band.
Generating equivalent subsystems allows applying independent design of the resulting decentralized controller for both SISO and MIMO systems.
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Open image in new window Fig. 4 Top-page IRMS Table 1 Model and simulation parameters Model parameters Simulation parameters Component Description Parameter Value Zone controller Central controller responsible for both station section(s) and block section(s) Area under ZC (one block section considered under one ZC) 50 km Block section Section between two station sections.
The fuzzy logic control strategy is used for designing the controllers for both the stages.
A unified and systematic procedure is employed to derive the controllers for both holonomic and nonholonomic constrained mechanical systems, respectively.
The paper presents a unified frequency-domain methodology for designing robust continuous-and discrete-time controllers for both MIMO and SISO uncertain systems.
Then, the distributed finite-time optimization controllers for both the first-order and second-order multiple agents systems are designed based on the centralized finite-time optimization algorithm.
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