A multivariable optimization driving and control system and method capable of intelligently adapting a surface. The system comprises: a data calling module, a data access module, a user behavior and state mode recognition module, a user environmental adaption decision module, a multivariable optimization calculation module, a distributed type driving subsystem control module, and distributed type multiple driving subsystem modules. The system and method are applicable for the optimization control of multi-target tasks of a plurality of driving systems and capable of cooperatively changing actions on complex surfaces under the control of a global optimization strategy, have good user experience, and can satisfy a personalized and customized preference strategy and calculation method of a user; driving according to a simple target value is changed to the multivariable optimization driving in considerations of optimization strategies for personalized customization of a user, multi-environmental adaptation and driving recourses, so that user experience is improved by means of data driving and artificial intelligence, and changing actions on complex surfaces can be cooperatively executed by means of a control system of the global optimization strategy.
MULTIVARIABLE OPTIMIZATION DRIVING AND CONTROL SYSTEM AND METHOD CAPABLE OF INTELLIGENTLY ADAPTING SURFACE