초록 ▼

An improved motor vehicle automatic climate control methodology individually develops climate control commands in response to ambient environmental conditions and a transient state estimator, and individually and adaptively adjusts the commands to improve driver comfort in response to driver overrid

An improved motor vehicle automatic climate control methodology individually develops climate control commands in response to ambient environmental conditions and a transient state estimator, and individually and adaptively adjusts the commands to improve driver comfort in response to driver override of respective automatic control settings. The adaptive adjustment of the climate control commands is carried by CMAC neural networks that take into account the environmental conditions and the dynamic state of the system when the respective overrides occur so as to minimize or eliminate the environmental state ambiguity and steady-state/transient coupling that occur in currently known control methodologies.

대표청구항 ▼

An improved motor vehicle automatic climate control methodology individually develops climate control commands in response to ambient environmental conditions and a transient state estimator, and individually and adaptively adjusts the commands to improve driver comfort in response to driver overrid

An improved motor vehicle automatic climate control methodology individually develops climate control commands in response to ambient environmental conditions and a transient state estimator, and individually and adaptively adjusts the commands to improve driver comfort in response to driver override of respective automatic control settings. The adaptive adjustment of the climate control commands is carried by CMAC neural networks that take into account the environmental conditions and the dynamic state of the system when the respective overrides occur so as to minimize or eliminate the environmental state ambiguity and steady-state/transient coupling that occur in currently known control methodologies. 1994). Skoog et al., "Principles of Instrumental Analysis," Saunders College Publishing (Fort Worth), p. 124-126, (1992). Tavana et al., "Scanning of Cosolvents for Supercritical Fluids Solubilization of Organics," AIChE Journal, vol. 35 (No. 4), p. 645-648, (Apr. 1989). U.S. Environmental Protection Agency, "Best Management Practices for Pollution Prevention in the Textile Industry," p. 21-22, (Sep. 1996). Schnitzler et al., "Mass Transfer Phenomena in Polymers During Treatment in a Supercritical CO2-Atmosphere," Proceedings of the Fifth Meeting on Supercritical Fluids, p. 93, (1998). Sicardi et al., "Hydrodynamics of Supercritical CO2 Flow Through a Spool of Polyester Yarn," Proceedings of Fifth Meeting of Supercritical Fluids, 5th ed., p. 193, (1998). Bach et al., "Dyeing