Disturbance Feedback control (DFC) is a control concept in which an existing controller is augmented with an additional feedback in order to achieve better disturbance rejection performance. This paper proposes an ant...
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Disturbance Feedback control (DFC) is a control concept in which an existing controller is augmented with an additional feedback in order to achieve better disturbance rejection performance. This paper proposes an anti-sway control scheme for crane systems using robust DFC designed to minimize the sway angle and trolley position errors via Linear Matrix Inequality optimization. The robust DFC is added to an existing crane control system composed of a feed forward and state feedback control. Simulation results for the gantry crane system show improvements in control performance when the gantry load is subjected to impulse force disturbances.
We consider the case of fleet management of a moderate number of Unmanned Aerial Vehicles (UAV or UAS) in confined space, e.g. indoor. Indoor operation of UAVs requires indoor localization capabilities as well as a su...
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We consider the case of fleet management of a moderate number of Unmanned Aerial Vehicles (UAV or UAS) in confined space, e.g. indoor. Indoor operation of UAVs requires indoor localization capabilities as well as a sufficiently precise 3D map of the facility, whereas fleet management of multiple UAV adds an extra dimension of complexity. Additional complexity is mainly introduced by constraints ensuring collision free operation. Based on earlier work on mapping, path planning and localization we suggest fleet management through a Timed Game formulation and Winning Strategy controller synthesis using the tool Uppaal Tiga.
In this paper we prove the convergence of an algorithm synthesising continuous piecewise-polynomial Lyapunov functions for polynomial vector fields defined on simplices. We subsequently modify the algorithm to sub-div...
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Successively forming GaSb islands by solid-phase epitaxy and covering them with a silicon layer, a nanostructured material containing 4 layers of GaSb nanocrystals (NCs) was grown on Si(111) surface. Due to a small si...
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Smart grid functionalities require developing, testing and verification of complex systems in a realistic environment that captures the three main domains: control, ICT, and Electrical Grid. Real-time simulations that...
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This paper presents a method for verifying the safety of a stochastic system. In particular, we show how to compute the largest set of initial conditions such that a given stochastic system is safe with probability p....
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This paper addresses the computation of additively separable Lyapunov functions for interconnected systems. The presented results can be applied to reduce the complexity of the computations associated with stability a...
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This paper addresses the computation of additively separable Lyapunov functions for interconnected systems. The presented results can be applied to reduce the complexity of the computations associated with stability analysis of large scale systems. We provide a necessary and sufficient condition for the existence of an additively separable Lyapunov function; subsequently, sparsity conditions are given for finding additively separable polynomial Lyapunov functions for both local and global stability of polynomial systems.
In the process of lowering cost of energy of power generated by wind turbines, some focus has been drawn towards fault detection and isolation and as well as fault tolerant control of wind turbines with the purpose of...
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In this paper we introduce an algorithm for the synthesis of polynomial Lyapunov functions for polynomial vector fields. The Lyapunov function is a continuous piecewise-polynomial defined on simplices, which compose a...
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In this paper we introduce an algorithm for the synthesis of polynomial Lyapunov functions for polynomial vector fields. The Lyapunov function is a continuous piecewise-polynomial defined on simplices, which compose a collection of simplices. The algorithm is elaborated and crucial features are explained in detail. The strengths and weaknesses of the algorithm are exemplified and a new way of sub-dividing the simplices is presented.
This paper presents the development of a control-oriented tenth-order nonlinear model of a diesel driven generator set, using first principles modeling. The model provides physical system insight, while keeping the co...
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This paper presents the development of a control-oriented tenth-order nonlinear model of a diesel driven generator set, using first principles modeling. The model provides physical system insight, while keeping the complexity at a level where it can be a tool for future design of improved automatic generation control (AGC), by including important nonlinearities of the machine. The nonlinearities are, as would be expected for a generator, primarily of bilinear nature. Validation of the model is done with measurements on a 60 kVA/48 kW diesel driven generator set in island operation during steps of active electrical load.
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