Pushkin Kachroo – författare

"Feedback Ramp Metering in Intelligent Transportation Systems" is the first book on the topic of using feedback control (also called real-time traffic control or adaptive control by some traffic engineers) in ramp metering. It provides traffic theory fundamentals and then the design of feedback controllers for isolated and coordinated ramp metering problems. Software simulation code in Matlab and Paramics is provided in the book so that the reader can get a hands-on feel for the various algorithms. With a large number of examples, illustrations, and original problems, this book is excellent as a textbook or reference book for a senior or graduate level course on the subject, as well as a reference for researchers in related fields.

Taking a completely hands-on approach, using cheap and easily available robotics kits, Practical and Experimental Robotics provides a detailed exploration of the construction, theory, and experiments for different types of robots. With topics ranging from basic stamp microcontrollers to biped and propeller based robots, the text contains laboratory experiments, examples with solutions, and case studies.The authors begin with a review of the essential elements of electronics and mechanics. They describe the basic mechanical construction and electrical control of the robot, then give at least one example of how to operate the robot using microcontrollers or software. The book includes a reference chapter on Basic Stamp Microcontollers with example code pieces and a chapter completely devoted to PC interfacing. Each chapter begins with the fundamentals, then moves on to advanced topics, thus building a foundation for learning from the ground up.Building a bridge between technicians who have hands-on experience and engineers with a deeper insight into the workings, the book covers a range of machines, from arm, wheel, and leg robots to flying robots and robotic submarines and boats. Unlike most books in this field, this one offers a complete set of topics from electronics, mechanics, and computer interface and programming, making it an independent source for knowledge and understanding of robotics.

The series Advances in Industrial Control aims to report and encourage technology transfer in control engineering. The rapid development of control technology impacts all areas of the control discipline. New theory, new controllers, actuators, sensors, new industrial processes, computer methods, new applications, new philosophies, .... , new challenges. Much of this development work resides in industrial reports, feasibility study papers and the reports of advanced collaborative projects. The series offers an opportunity for researchers to present an extended exposition of such new work in all aspects of industrial control for wider and rapid dissemination. Micro-technology and modern communications technology are revolutionising many aspects of our daily lives and so it is not surprising that it is impacting societal transportation systems whether our highways, airways, seaways or railways. The Advances in Industrial Control series reported on these developments for long haul railway systems in a monograph by Howlett and Pudney (ISBN 3-S40-19990-X, 1995). Now it is the turn of transportation in a contribution from Pushkin Kachroo and Kaan Ozbay. The authors viewpoint is that this new set of transportation problems are control problems and that control engineers should be highly active in this field. Their volume covers all the aspects of modelling, problem formulation, and applies various control methodologies to solve the control problems formulated.

Feedback Ramp Metering in Intelligent Transportation Systems is the first book on the topic of using feedback control (also called real-time traffic control or adaptive control by some traffic engineers) in ramp metering. It provides traffic theory fundamentals and then the design of feedback controllers for isolated and coordinated ramp metering problems. Software simulation code in Matlab and Paramics is provided in the book so that the reader can get a hands-on feel for the various algorithms. With a large number of examples, illustrations, and original problems, this book is excellent as a textbook or reference book for a senior or graduate level course on the subject, as well as a reference for researchers in related fields.

This book develops a methodology for designing feedback control laws for dynamic traffic assignment (DTA) exploiting the introduction of new sensing and information-dissemination technologies to facilitate the introduction of real-time traffic management in intelligent transportation systems.

This book develops a methodology for designing feedback control laws for dynamic traffic assignment (DTA) exploiting the introduction of new sensing and information-dissemination technologies to facilitate the introduction of real-time traffic management in intelligent transportation systems.

This book investigates abstraction of dynamical systems for the purpose of designing controllers. Abstraction is a means to reduce a system model's complexity while retaining the important behavior of that system. The motivating example throughout this text is the robotic car. Two topics are introduced in this text: control design using abstraction and propagation of uncertainty in abstracted systems. First, this book investigates the conditions for which controllers can be designed in abstracted systems and then transferred to the original dynamical system, taking advantage of design using the simpler model. This book also studies the relationship between the evolution of uncertain initial conditions in abstracted control systems. It is shown that a control system abstraction can capture the time evolution of the uncertainty in the original system by an appropriate choice of control input. This book provides a comprehensive review of the theory behind abstraction and applies the results to general nonlinear dynamical systems. In particular, the following topics are presented: An overview of the history and current research in mobile robotic control design.A mathematical review that provides the tools used in this research area.The development of the robotic car model and both controllers used in the new control design. A review of abstraction and an extension of these ideas into new system relationship characterizations called traceability and E-traceability. A framework for designing controllers based on abstraction. An open-loop control design with simulation results. An investigation of system abstraction with uncertain initial conditions.

Effective evacuation of people from closed spaces is an extremely important topic, since it can save real lives in emergency situations that can be brought about by natural and human made disasters. Usually there are static maps posted at various places at buildings that illustrate routes that should be taken during emergencies. However, when disasters happen, some of these routes might not be valid because of structural problems due to the disaster itself and more importantly because of the distribution of congestion of people spread over the area. The average flow of traffic depends on the traffic density. Therefore, if all the people follow the same route, or follow a route without knowing the congestion situation, they can end up being part of the congestion which results in very low flow rate or worse a traffic jam. Hence it becomes extremely important to design evacuations that inform people how fast and in which direction to move based on real-time information obtained about the people distribution using various sensors. The sensors used can include cameras, infra red sensors etc., and the technology used to inform people about the desired movement can be communicated using light matrix, small speakers, and in the future using wireless PDAs.This book provides mathematical models of pedestrian movements that can be used specifically for designing feedback control laws for effective evacuation. The book also provides various feedback control laws to accomplish the effective evacuation. The book uses the hydrodynamic hyperbolic PDE macroscopic pedestrian models since they are amenable to feedback control design. The control designs are obtained through different nonlinear techniques including Lyapunov functional techniques, feedback linearization in the distributed model, and some discretized techniques.

Effective evacuation of people from closed spaces is an extremely important topic, since it can save real lives in emergency situations that can be brought about by natural and human made disasters. Usually there are static maps posted at various places at buildings that illustrate routes that should be taken during emergencies. However, when disasters happen, some of these routes might not be valid because of structural problems due to the disaster itself and more importantly because of the distribution of congestion of people spread over the area. The average flow of traffic depends on the traffic density. Therefore, if all the people follow the same route, or follow a route without knowing the congestion situation, they can end up being part of the congestion which results in very low flow rate or worse a traffic jam. Hence it becomes extremely important to design evacuations that inform people how fast and in which direction to move based on real-time information obtained about the people distribution using various sensors. The sensors used can include cameras, infra red sensors etc., and the technology used to inform people about the desired movement can be communicated using light matrix, small speakers, and in the future using wireless PDAs. This book provides mathematical models of pedestrian movements that can be used specifically for designing feedback control laws for effective evacuation. The book also provides various feedback control laws to accomplish the effective evacuation. The book uses the hydrodynamic hyperbolic PDE macroscopic pedestrian models since they are amenable to feedback control design. The control designs are obtained through different nonlinear techniques including Lyapunov functional techniques, feedback linearization in the distributed model, and some discretized techniques.