We present a discrete-time adaptive control law that is effective for systems that are MIMO and either minimum phase or nonminimum phase. The adaptive control algorithm provides gu...
Mario A. Santillo, Matthew S. Holzel, Jesse B. Hoa...
For enhancing current driver assistance and information systems with regard to the capability to recognize an individual driver's needs, we conceive a system based on fuzzy lo...
Abstract. This paper presents liveness properties that need to be preserved by Event-B models of distributed systems. Event-B is a formal technique for development of models of dis...
Blind image deconvolution is an ill-posed problem that requires regularization to solve. However, many common forms of image prior used in this setting have a major drawback in th...
It is common in classification methods to first place data in a vector space and then learn decision boundaries. We propose reversing that process: for fixed decision boundaries, ...