A mixed-signal fuzzy controller architecture

Limits to precision impose limits on the complexity of analog circuits, hence fuzzy analog controllers are usually oriented to fast low-power systems with low medium complexity. This paper presents a strategy to preserve most of the advantages of an analog implementation, while allowing a marked increment in system complexity. Such a strategy consists of implementing a reduced number of rules, those that really determine the output in a lattice controller, which we call the analog core, then this core is dynamically programmed to perform the computation related to a specific rule set. HSPICE simulations from an example controller are shown to illustrate the viability of the proposal