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ANZCC2018 will provide a forum for Australian and New Zealand researchers, students and control engineers from universities, industry and government organisations to exchange ideas and recent results, as well as discuss current problems arising in control engineering research and industrial practice International contributions are encouraged and will be solicited for.

Control theory

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Control Theory and Applications, Robotics and Mechatronics, Machining Learning and Big, Data, Information and Network Theories, Autonomous Vehicle Systems, Human Robot Interactions, Process Control Systems, Machine Vision and Perception, Bio & Ecological Systems, Control Devices and Instruments, Artificial Intelligent Systems, Cyber Physical Systems, Guidance, Navigation, and Control, Sensors and Actuators, Human Augmented Robots, Industrial Applications of Control, Smart Manufacturing System, Civil and Urban Control Systems.

Automation --- Control theory

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"A Relaxation Based Approach to Optimal Control of Hybrid and Switched Systems proposes a unified approach to effective and numerically tractable relaxation schemes for optimal control problems of hybrid and switched systems. The book gives an overview of the existing (conventional and newly developed) relaxation techniques associated with the conventional systems described by ordinary differential equations. Next, it constructs a self-contained relaxation theory for optimal control processes governed by various types (sub-classes) of general hybrid and switched systems. It contains all mathematical tools necessary for an adequate understanding and using of the sophisticated relaxation techniques. In addition, readers will find many practically oriented optimal control problems related to the new class of dynamic systems. All in all, the book follows engineering and numerical concepts. However, it can also be considered as a mathematical compendium that contains the necessary formal results and important algorithms related to the modern relaxation theory."--

Control theory. --- Dynamics --- Machine theory

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Adaptive control systems --- Telecommunication systems --- Control theory

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In this book, control and filtering problems for several classes of stochastic networked systems are discussed. In each chapter, the stability, robustness, reliability, consensus performance, and/or disturbance attenuation levels are investigated within a unified theoretical framework. The aim is to derive the sufficient conditions such that the resulting systems achieve the prescribed design requirements despite all the network-induced phenomena. Further, novel notions such as randomly occurring sensor failures and consensus in probability are discussed. Finally, the theories/techniques developed are applied to emerging research areas. Key Features Unifies existing and emerging concepts concerning stochastic control/filtering and distributed control/filtering with an emphasis on a variety of network-induced complexities Includes concepts like randomly occurring sensor failures and consensus in probability (with respect to time-varying stochastic multi-agent systems) Exploits the recursive linear matrix inequality approach, completing the square method, Hamilton-Jacobi inequality approach, and parameter-dependent matrix inequality approach to handle the emerging mathematical/computational challenges Captures recent advances of theories, techniques, and applications of stochastic control as well as filtering from an engineering-oriented perspective Gives simulation examples in each chapter to reflect the engineering practice.

Stochastic systems. --- Nonlinear control theory. --- Filters (Mathematics)