Data-Driven Optimal Output Feedback Control of Unknown System Model via Adaptive Dynamic Programming
Abstract: This paper investigates the linear quadratic optimal output feedback control problem for an unknown linear continuous-time system. Combined with adaptive dynamic programming and optimal ...
Data science has moved from a niche technical discipline to a core function across industries. Organizations now rely on data-driven decision-making in areas ranging from finance and healthcare to ...
Professionals worldwide gain standardized recognition for web development skills through assessment-based certification ...
Advancing self-reliance, the authors said, will require strong coordination across humanitarian, development and government partners, a commitment to data-driven programming and policies that ...
Businesses have relied on experiences and intuition-based decisions from senior leaders for growth for decades. These methods, while still being highly valuable, have been augmented by data-driven ...
Researchers tested a strategy for developing single-atom catalysts that may help us develop more efficient methods for water purification. All humans need clean water to live. However, purifying water ...
Nelly Voukaki, Co-Founder and Chief Customer Officer at Looper Insights, has 18+ years of experience in the digital media sector. As the streaming industry continues to chop, change and shift at a ...
Abstract: This letter proposes a novel Data-Driven (DD) method for controlling unknown input-affine nonlinear systems. First, we estimate the system dynamics from noisy data offline through Subspace ...
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