Importance sampling-based algorithms are a popular alternative when Bayesian network models are too large or too complex for exact algorithms. However, importance sampling is sensi...
Product Distribution (PD) theory was recently developed as a framework for analyzing and optimizing distributed systems. In this paper we demonstrate its use for adaptive distribu...
— This paper presents a novel adaptive controller for multimodal systems based on Fuzzy Reference Model Generator (FRMG). The proposed scheme consists of a fuzzy logic switching ...
This paper explores an application of support vector regression (SVR) to model predictive control (MPC). SVR is employed to identify a dynamic system from input-output data, and t...
— Within-functional-block fine-grained adaptive dual supply voltage control (FADVC) is proposed to reduce the power of CMOS logic circuits. Both process and design variations wi...