Electrical and Electronic Engineering - Research Publications

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    Event-Triggered Boundary Control of 2 x 2 Semilinear Hyperbolic Systems
    Strecker, T ; Cantoni, M ; Aamo, OM (IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC, 2024-01)
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    Boundary Feedback Control of 2x2 Quasilinear Hyperbolic Systems: Predictive Synthesis and Robustness Analysis
    Strecker, T ; Aamo, OM ; Cantoni, M (IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC, 2022-03)
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    Modeling and Control of Pipeline Networks Supplied by Automated Irrigation Channels
    Mavkov, B ; Strecker, T ; Zecchin, AC ; Cantoni, M (American Society of Civil Engineers, 2022-06-01)
    A model-based approach to control system design is developed for regulating the discharge flows at the outlets of a pipeline network supplied by an irrigation channel. The open channel is also controlled automatically to regulate the supply-point water level. The hydraulic pressure at the source of the network is therefore dynamic when flow load varies. Regulation of the piped discharge flows is achieved by adjusting outlet control valves on the basis of the specified flow demand and sensor measurements. A blend of feedforward and feedback control is proposed. The steady-state behaviour of a nonlinear distributed-parameter model of the network is used to determine the feedforward control action. The feedback control action is used to compensate for modeling error. The design of the feedback controller is based on a frequency-domain transfer function model of the system dynamics, and classical loop-shaping ideas. This model is obtained via the admittance matrix of linearized network equations. The synthesis of both centralized and decentralized feedback controller configurations is considered. Simulations that involve a nonlinear distributed-parameter model of the network dynamics are used to illustrate controller performance.
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    Predictive feedback boundary control of semilinear and quasilinear 2 × 2 hyperbolic PDE–ODE systems
    Strecker, T ; Aamo, OM ; Cantoni, M (Elsevier BV, 2022-06-01)
    We present a control design for semilinear and quasilinear 2 × 2 hyperbolic partial differential equations with the control input at one boundary and a nonlinear ordinary differential equation coupled to the other. The controller can be designed to asymptotically stabilize the system at an equilibrium or relative to a reference signal. Two related but different controllers for semilinear and general quasilinear systems are presented and the additional challenges in quasilinear systems are discussed. Moreover, we present an observer that estimates the distributed PDE state and the unmeasured ODE state from measurements at the actuated boundary only, which can be used to also solve the output feedback control problem.
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    Asynchronous links that re-order samples: An L2 gain embedding
    Fabbro, MA ; Cantoni, M (ELSEVIER, 2021)
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    Optimal contract design for effort-averse sensors
    Farokhi, F ; Shames, I ; Cantoni, M (Taylor & Francis, 2018-06-28)
    A central planner wishes to engage a collection of sensors to measure a quantity. Each sensor seeks to trade-off the effort it invests to obtain and report a measurement, against contracted reward. Assuming that measurement quality improves as a sensor increases the effort it invests, the problem of reward contract design is investigated. To this end, a game is formulated between the central planner and the sensors. Using this game, it is established that the central planner can enhance the quality of the estimate by rewarding each sensor based on the distance between the average of the received measurements and the measurement provided by the sensor. Optimal contracts are designed from the perspective of the budget required to achieve a specified level of error performance.
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    Geometric techniques for implicit two-dimensional systems
    Ntogramatzidis, L ; Cantoni, M (SPRINGER, 2013-12)
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    Structured preconditioning of conjugate gradients for path-graph network optimal control problems
    Zafar, A ; Cantoni, M ; Farokhi, F (IEEE, 2021-01-01)
    A structured preconditioned conjugate gradient (PCG) based linear system solver is developed for implementing Newton updates in second-order methods for a class of con- strained network optimal control problems. Of specific interest are problems with discrete-time dynamics arising from the path-graph interconnection of N heterogeneous sub-systems. The arithmetic complexity of each PCG step is O(NT), where T is the length of the time horizon. The proposed preconditioning involves a fixed number of block Jacobi iterations per PCG step. A decreasing analytic bound on the effective conditioning is given in terms of this number. The computations are decomposable across the spatial and temporal dimensions of the optimal control problem into sub-problems of size independent of N and T. Numerical results are provided for two example systems.
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    Linear quadratic control computation for systems with a directed tree structure
    Zafar, A ; Farokhi, F ; Cantoni, M (ELSEVIER, 2020)