Cong Li – författare

Assuring Safe Operation of Robotic Systems under Uncertainty: Control and Learning Methods applies set-theoretic and reinforcement learning approaches to formulate, analyze, and solve the challenge of ensuring safe operation of robotic systems in an uncertain environment.The authors adopt learning-supported, set-theoretic methods-specifically, the barrier Lyapunov function and the control barrier function-to achieve desirable robust safety with guaranteed performance in continuous-time nonlinear control applications. They also combine reinforcement learning with control theory to ensure safe learning and optimization. The reinforcement learning-based optimization framework incorporates safety and robustness guarantees by applying theoretical analysis tools from the field of control.This book will be of interest to researchers, engineers, and students specializing in robot planning and control.

Assuring Safe Operation of Robotic Systems under Uncertainty: Control and Learning Methods applies set-theoretic and reinforcement learning approaches to formulate, analyze, and solve the challenge of ensuring safe operation of robotic systems in an uncertain environment.The authors adopt learning-supported, set-theoretic methods-specifically, the barrier Lyapunov function and the control barrier function-to achieve desirable robust safety with guaranteed performance in continuous-time nonlinear control applications. They also combine reinforcement learning with control theory to ensure safe learning and optimization. The reinforcement learning-based optimization framework incorporates safety and robustness guarantees by applying theoretical analysis tools from the field of control.This book will be of interest to researchers, engineers, and students specializing in robot planning and control.

Assuring Safe Operation of Robotic Systems under Uncertainty: Control and Learning Methods applies set-theoretic and reinforcement learning approaches to formulate, analyze, and solve the challenge of ensuring safe operation of robotic systems in an uncertain environment.The authors adopt learning-supported, set-theoretic methods—specifically, the barrier Lyapunov function and the control barrier function—to achieve desirable robust safety with guaranteed performance in continuous-time nonlinear control applications. They also combine reinforcement learning with control theory to ensure safe learning and optimization. The reinforcement learning-based optimization framework incorporates safety and robustness guarantees by applying theoretical analysis tools from the field of control.This book will be of interest to researchers, engineers, and students specializing in robot planning and control.

An organization can have a high number of «likes» on its Facebook page and lots of «followers» on its Twitter account, but does that mean anything from a financial perspective? Is it worth the organization’s effort to maintain an active presence on social media in order to generate more revenue? Is it possible to use social media metrics such as the number of «likes» and the number of «followers» to predict an organization’s «success» even though those metrics are nonfinancial indicators? Prior research studies have looked at how organizations should utilize social media, but few studies have provided strong empirical evidence to support how the outcome of using social media should be measured and why. Focusing on Facebook, Twitter, Google+, and YouTube, this book examines how Fortune 500 companies use social media. Collected over a five-year period, the authors assess the companies’ social media activities and their business performance data, such as stock return, total revenue, net income, and earnings per share. These data, both financial and nonfinancial, are matched and statistically analyzed to see whether a company’s social media activities are significantly associated with its business performance.

As the media landscape has evolved over the past fewyears, especially with the emergence of interactive andsocial media, the philosophy of advertising is significantlychanging. Most businesses realize that the dayswhen they relied on three national networks (ABC, NBC,and CBS) and a few national newspapers to advertise aregone; thus, they begin to find alternatives to standardizedadvertising. Many of them begin to adopt moreindividualized advertising approaches, empowered byInternet technologies.This book outlines three fundamental strategies of advertising:standardized, targeted, and individualized. Itdescribes each strategy in detail and discusses the prosand cons of each. The importance of collecting consumerinsights and incorporating those insights into advertisingmessages are also highlighted. Although a few high-technologycompanies, such as Google, Facebook, andAmazon, are showing success in delivering individualizedadvertising messages to consumers, this approach (includingboth personalization and customization) is not suitablefor all businesses. No single strategy is absolutely moreeffective than the others; however, inside you are given areal strategy based on a scrutiny of the value proposition ofthe business and expectations of consumers.