Event Based Control And Signal Processing

Event-based systems are a class of reactive systems deployed in a wide spectrum of engineering disciplines including control, communication, signal processing, and electronic instrumentation. Activities in event-based systems are triggered in response to events usually representing a significant change of the state of controlled or monitored physical variables. Event-based systems adopt a model of calls for resources only if it is necessary, and therefore, they are characterized by efficient utilization of communication bandwidth, computation capability, and energy budget. Currently, the economical use of constrained technical resources is a critical issue in various application domains because many systems become increasingly networked, wireless, and spatially distributed. Event-Based Control and Signal Processing examines the event-based paradigm in control, communication, and signal processing, with a focus on implementation in networked sensor and control systems. Featuring 23 chapters contributed by more than 60 leading researchers from around the world, this book covers: Methods of analysis and design of event-based control and signal processing Event-driven control and optimization of hybrid systems Decentralized event-triggered control Periodic event-triggered control Model-based event-triggered control and event-triggered generalized predictive control Event-based intermittent control in man and machine Event-based PID controllers Event-based state estimation Self-triggered and team-triggered control Event-triggered and time-triggered real-time architectures for embedded systems Event-based continuous-time signal acquisition and DSP Statistical event-based signal processing in distributed detection and estimation Asynchronous spike event coding technique with address event representation Event-based processing of non-stationary signals Event-based digital (FIR and IIR) filters Event-based local bandwidth estimation and signal reconstruction Event-Based Control and Signal Processing is the first extensive study on both event-based control and event-based signal processing, presenting scientific contributions at the cutting edge of modern science and engineering.

the event based paradigm applied to a wide spectrum of engineering disciplines including control, communication, signal processing, and electronic instrumentation

recent advances and developments in the event based systems and architectures applied in wide spectrum of engineering disciplines including control, communication and signal processing

recent advances and developments in the event based systems and architectures applied in wide spectrum of engineering disciplines including control, communication and signal processing

Event-based control is a means to reduce the information exchange over the feedback link in networked control systems in order to avoid an overload of the digital network which generally degrades the performance of the overall control loop. This thesis presents a novel state-feedback approach to event-based control which allows approximating a continuous-time state-feedback loop with arbitrary precision while adapting the communication over the feedback link to the effect of unknown disturbances. The focus of this thesis lies in complementing the event-based state-feedback control by deriving new properties, proposing alternative methods for the analysis and improving the components of the closed-loop system. Moreover, suitable strategies are proposed to deal with imprecise information about the plant and imperfect communication links. The theoretical results are evaluated by simulations and experiments using a thermofluid process.

This thesis proposes a method that plans trajectories for autonomous agents to enable them to fulfil different tasks while ensuring the collision-free movement. The agents are locally controlled and connected over an unreliable communication network that may induce packet losses and transmission delays. Further sensors e.g. for a distance measurement are not used and communication should only be invoked if it is necessary to avoid a collision. The basic problem occurs for two agents. The first agent can change its trajectory at any time without regard to the second agent, which has to ensure the collision avoidance. To this aim it adapts its trajectory based only on local data and communicated information about the current and future movement of the first agent. A control unit for the second agent is introduced that has to execute four tasks to ensure the control aims: 1. Estimation of the current network properties. 2. Prediction of the movement of the stand-on agent. 3. Invocation of communication whenever the local data becomes too uncertain. 4. Planning of collision avoiding trajectories. The main result of the thesis is a novel control method for mobile agents that solves the four tasks leading to a proven collision avoidance. The method consists of a delay estimator, a prediction unit, an event generator and a trajectory planning unit. The method can be used for different types of agents (e.g. UAVs or cars) with only slight modifications. The proposed method is tested and evaluated through simulations and experiments with both, two quadrotors and two nonholonomic robots.

The aim of the EBCCSP 2021 conference is to bring together researchers and practitioners from the industry and academia and provide them with a platform to report on recent advances and developments in the event based systems and architectures applied in wide spectrum of engineering disciplines including control, communication and signal processing

The aim of the EBCCSP 2020 conference is to bring together researchers and practitioners from the industry and academia and provide them with a platform to report on recent advances and developments in the event based systems and architectures applied in wide spectrum of engineering disciplines including control, communication and signal processing