Showing papers in "IFAC Proceedings Volumes in 2014"

TL;DR: In this article, the impact of low rotational inertia on power system stability and operation is investigated, and new analysis insights and impact mitigation options are provided for power systems with high RES shares.

TL;DR: The proposed approach combines the standard hierarchical control paradigm that separates the control into low-level motor control, mid-level attitude dynamics control, and a high-level trajectory tracking with a model predictive control strategy to obtain a linear system that models force controlled position and trajectory tracking for the quadrotor.

TL;DR: It is shown that an important class of metrics based on the controllability and observability Gramians has a strong structural property that allows efficient global optimization: the mapping from possible placements to the trace of the associated Gramian is a modular set function.

TL;DR: This work investigates resilient control strategies for linear systems under Denial-of-Service (DoS) attacks by characterize the duration of these interruptions under which stability of the closed-loop system is preserved.

TL;DR: In this article, an optimization-based solution to magnetometer-free inertial motion capture is presented, which allows for natural inclusion of biomechanical constraints, for handling of nonlinearities and for using all data in obtaining an estimate.

TL;DR: In this paper, the authors proposed a method to find the basin of attraction in the phase space of a trajectory, which can be used to determine unstable equilibria and check the existence of self-excited attractors.

TL;DR: In this paper, the authors propose control strategies which will help to maintain BESS's State of Charge (SoC) in the optimal range and slow down battery aging significantly, and validate these strategies using data from ENTSO-E (for the German regulation market) in Continental Europe and the PJM interconnection in the USA.

TL;DR: In this article, an adaptive continuous higher order sliding mode control scheme is proposed, which consists of a control law which provides smooth finite time stabilization of the origin for a nominal disturbance-free system formed from a chain of integrators, together with a super-twisting term to guarantee robustness to a class of twice differentiable uncertainty.

TL;DR: The code generated for the Mars landing problem was successfully validated in three flights onboard a NASA test rocket, and was used in real-time to generate the optimal landing trajectories that guided the rocket.

TL;DR: Results are presented that enable for significant improvements when using fast dual ascent for embedded model predictive control that rely on a new characterization of the set of matrices that can be used to describe a quadratic upper bound to the negative dual function.

TL;DR: In this paper, a frequency-preserving load-side control that rebalances power and resynchronizes frequencies after a disturbance but cannot restore the nominal frequency is proposed. But it requires each bus to communicate a Lagrange multiplier with its neighbors.

TL;DR: In this article, a hierarchical control scheme is proposed to enable provision of frequency control reserves by a pool of office buildings managed by an aggregator, which is provided by controlling the consumption of the heating, ventilation, and air conditioning (HVAC) systems in a robust way.

TL;DR: In this article, a semi-active inerter whose inertance can be adjusted within a finite bandwidth by on-line control actions is proposed, where the target active control force derived by LQR control in the reciprocal state-space (RSS) framework is tracked by controlling the semiactive damping coefficient and semiactive inertance.

TL;DR: In this article, the problem of two-dimensional trajectory tracking for autonomous marine surface vehicles is addressed using Model Predictive Control (MPC), where the MPC controller computes the optimal forces and moment the vessel needs in order to track the trajectory in an optimal way based on a horizontal 3 degrees of freedom nonlinear scaled vessel model.

TL;DR: In this article, the design of a stabilizing control law for an aerial vehicle which is physically connected to a ground station by means of a tether cable is discussed. But the authors focus on the design only on the control of a single UAV which is steered to a desired set-point while maintaining the cable taut at all times.

TL;DR: In this article, an unsupervised one-class SVM classifier was employed as a novelty detection system to identify unknown status and possible faults in HVAC chiller systems.

TL;DR: An efficient power management model is proposed, designed to solve occasional hardware and communication failures in such kind of laboratories, where physical absence of supervising person can result in serious malfunctions or security issues.

TL;DR: Two algorithms based on the gradient descent method and the algorithm based on a nonlinear complementary filter are compared to a standard Extended Kalman Filter with the aim to show that a general method can easily compete with ad-hoc solutions and even outperform them in particular conditions.

TL;DR: In this article, a methodology based on the 3D curvilinear coordinates technique for road modelling, the moving frame approach for the derivation of the vehicle equations of motion, the replacement of the time with the position along the track as new independent variable and the formulation and the solution of the minimum lap time problem by means of the indirect approach.

TL;DR: In this article, the authors discuss the issue of sudden voltage rise and reverse power flow resulting from high penetration of PV on the low voltage grid and also the need for a smarter grid, which is a result of deregulation of the electricity market and increasing environmental issues related to global warming arising from the use of fossil fuel power plants.

TL;DR: In this paper, the authors considered event-triggered control subject to actuator saturation for linear systems and presented a method to estimate the domain of attraction which represents a contractive invariant set.

TL;DR: The main goal of RECONFIGURE is to research and develop aircraft FDD and FTC technologies that facilitate the automated handling of off-nominal/abnormal events and optimize the aircraft status and flight.

TL;DR: In this article, the authors compared the accuracy of the identification of the dynamic parameters of the rigid model of the LWR4+ with the same accuracy of using joint torque sensors at the output of the joint drive chains.

TL;DR: In this article, a model predictive control applied to an irrigation system, in order to make an efficient use of water for large territories, i.e. apply the correct amount of water in the correct place at the right moment.

TL;DR: In this paper, a probabilistic model-based approach is presented for the design of auxiliary input signals enhancing fault diagnosability by separation of multiple nonlinear models pertaining to nominal and faulty system operations.

TL;DR: In this paper, a stochastic MPC strategy is proposed to dynamically learn the statistics of the building occupancy patterns and weather conditions, and the main advantage of this method is the absence of apriori assumptions on the distributions of the uncertain variables, and that it can be applied to any type of building.

TL;DR: In this article, the effects of road grade to the optimization problem and generate an optimal velocity trajectory for a given road grade profile is considered. But, the results have shown that the analytical and DP solutions generate very close velocity trajectories which are around 8-10% more efficient than the constant cruise speed control case for the given examples.

TL;DR: In this paper, the authors proposed a distributed distance-based rigid formation control with finite settling time for point agents and double integrators, where all agents achieve the same velocity and reach a desired shape in finite time.

TL;DR: In this article, an adaptive observer design for a first-order hyperbolic system of Partial Differential Equations with uncertain boundary parameters is presented, which relies on boundary measurements only, and is based on a backstepping approach.

TL;DR: In this paper, the authors extend the modulating functions method to estimate the state and the unknown input of a linear time-varying system defined by a linear differential equation.