Cities worldwide have realized the importance of utilizing advanced technology and solutions to address some of the problems of urbanization. These problems include resource consumption, security, congestion, and environmental degradation. At the same time, as a result of advances in information technologies and infrastructure investments, platforms for developing and deploying advanced automation and control applications — analytics, modeling, optimization, and closing-the-loop on technical systems in cities — are being implemented. While industry has been promoting diverse “smart city” products and solutions, these are often developed for immediate needs and business opportunities. Academe has been by and large focusing on basic and applied research endeavoring to address the city problems but with little understanding of the “voice of the customer”. In addition, the influence of government has been underrated—in most cities government plays an essential role in advancing policies and plans for urban development. Just in Zhejiang, 16 smart city projects have been launched by the provincial government. To this end, the main objective of this workshop is to establish a platform for the triangular parties - Government, Industry and Academe – to exchange ideas, discuss challenges and put forward possible solutions in the hope that a more interactive community/forum could be developed to define and address the problems associated with the smart city. We hope leading researchers and industry experts in control science and engineering will convene to address a wide spectrum of challenges and opportunities for smart city from control and automation perspectives. The smart city consists of numerous interconnected systems: smart transportation, smart energy, smart water system, smart education, smart healthcare, smart security, smart logistics, etc. As has been demonstrated in the broad application of industrial and academic research results, control and automation system could be employed in many aspects of smart city, from the optimization and scheduling algorithms deployed in energy distribution in smart grid, to the leverage of model predictive control technology in the city water management system, to automation with feedback in road traffic management systems, to sensor networks for applications such as environmental monitoring and security. There will be more and extensive applications of control systems for smart city if the control research community could achieve a better understanding of the challenges and opportunities posed by cities through the interaction with city governments and the industry players.