In this paper the problem of detecting and isolating sensor faults on a certain class of nonlinear systems is considered. A procedure to design a bank of extended H∞H∞ observers for sensor fault detection and isolation (FDI) is carried... more
In this paper the problem of detecting and isolating sensor faults on a certain class of nonlinear systems is considered. A procedure to design a bank of extended H∞H∞ observers for sensor fault detection and isolation (FDI) is carried out: each observer is composed of an open loop nonlinear part replicating the system dynamics and a linear feedback action. Sufficient conditions for the synthesis of the feedback action are provided in terms of linear matrix inequality (LMI) feasibility problems. Constraints on the position of the observer poles are added to fasten the residual generation dynamics and to avoid low-damped and/or high-frequency modes. Numerical results on the longitudinal dynamics of a commercial aircraft are provided to show the practical applicability of the proposed technique.
In this paper an innovative Radio Resource Management (RRM) algorithm is proposed with the purpose of increasing High Speed Packet Access (HSPA) performances, in terms of system capacity and service quality, when the Multimedia Broadcast... more
In this paper an innovative Radio Resource Management (RRM) algorithm is proposed with the purpose of increasing High Speed Packet Access (HSPA) performances, in terms of system capacity and service quality, when the Multimedia Broadcast Multicast Services (MBMS) is supplied. The proposed RRM algorithm exploits channel quality indications to set up point-to-multipoint connections to subgroups of multicast users and to select the proper modulation and coding schemes on the downlink. The number of subgroups is determined through an optimization technique that also takes into account the user satisfaction. An exhaustive simulation campaign is conducted to compare the proposed algorithm with the most promising approaches in the literature. Comparisons aim to assess the capability of the proposed RRM algorithm to efficiently manage group oriented services by providing an increment in terms of user satisfaction.
This study describes the application of the task priority null-space behavioural technique to the coordinated control of a team of flying vehicles with hovering capabilities, such as helicopters or quadrotors, in the presence of obstacles... more
This study describes the application of the task priority null-space behavioural technique to the coordinated control of a team of flying vehicles with hovering capabilities, such as helicopters or quadrotors, in the presence of obstacles and no-fly zones. Once a flight mission is assigned to the team in terms of a target region to reach, each flying vehicle is required to accomplish four tasks with assigned priorities. Formation flight and collisions avoidance with other vehicles and unknown or moving obstacles tasks are formulated via analytical expressions as required by the classical null-space behavioural approach. Move to target and a priori known obstacle avoidance behaviours are obtained by solving a partial differential equation problem within the flight domain. The effectiveness of the proposed technique is discussed with regards to two-dimensional and three-dimensional numerical examples.
In this paper the implementation of an Output Feedback Receding Horizon Control (RHC) algorithm for constrained uncertain discrete-time linear systems subject to norm-bounded Linear Fractional Representation (LFR) model uncertainties has... more
In this paper the implementation of an Output Feedback Receding Horizon Control (RHC) algorithm for constrained uncertain discrete-time linear systems subject to norm-bounded Linear Fractional Representation (LFR) model uncertainties has been developed. Performance and effective- ness of the proposed strategy have been numerically tested by considering the control augmentation problem of an High Al- titude Performance Demonstrator (HAPD) unmanned aircraft with redundant control surfaces.
In this paper, we adopt the hybrid supervisory control architecture developed in [1] for constrained control sys- tems. The strategy is based on Command Governor (CG) ideas and is tailored to jointly take into account time-varying set-... more
In this paper, we adopt the hybrid supervisory control architecture developed in [1] for constrained control sys- tems. The strategy is based on Command Governor (CG) ideas and is tailored to jointly take into account time-varying set- points/constraints and unpredictable anomalies in the nominal dynamical plant behaviour. The main contribution is to develop a low-computational demanding predictive scheme known in literature as the command governor (CG) for the supervision of non- linear dynamical systems subject to sudden switchings amongst operating conditions and time-varying constraints by preserving its basic properties. In order to show the effectiveness of proposed approach, we show significant simulations on the P92 commercial aircraft used for general aviation purposes.
In this paper a robust MPC scheme based on a partial-state availability is developed for uncertain discrete-time linear systems described by structured norm-bounded model uncertainties and subject to saturation and rate of variation... more
In this paper a robust MPC scheme based on a partial-state availability is developed for uncertain discrete-time linear systems described by structured norm-bounded model uncertainties and subject to saturation and rate of variation constraints. The algorithm is based on the minimization, at each time instant, of a semi-definite convex optimization problem subject to Linear Matrix Inequalities (LMI) feasibility constraints which are derived by a judicious use of S-Procedure arguments. Numerical comparisons with competitor algorithms are finally reported by dealing with the control augmentation problem of an High Altitude Performance Demonstrator (HAPD) unmanned aircraft with redundant control surfaces.
In this paper we address the obstacle avoidance motion planning problem for leader-follower vehicles configurations operating in static environments. By resorting to set-theoretic ideas, a receding horizon control algorithm is proposed... more
In this paper we address the obstacle avoidance motion planning problem for leader-follower vehicles configurations operating in static environments. By resorting to set-theoretic ideas, a receding horizon control algorithm is proposed for robots modelled by linear time-invariant (LTI) systems subject to input and state constraints. Terminal robust positively invariant regions and sequences of precomputed inner approximations of the one-step controllable sets are on-line exploited to compute the commands to be applied in a receding horizon fashion. Moreover, we prove that the design of both terminal sets and one-step ahead controllable regions is achieved in a distributed sense. An illustrative example is used to show the effectiveness of the proposed control strategy.
— In this paper, we adopt the hybrid supervisory control architecture developed in [1] for constrained control systems. The strategy is based on Command Governor (CG) ideas and is tailored to jointly take into account time-varying... more
— In this paper, we adopt the hybrid supervisory control architecture developed in [1] for constrained control systems. The strategy is based on Command Governor (CG) ideas and is tailored to jointly take into account time-varying set-points/constraints and unpredictable anomalies in the nominal dynamical plant behaviour. The main contribution is to develop a low-computational demanding predictive scheme known in literature as the command governor (CG) for the supervision of non-linear dynamical systems subject to sudden switchings amongst operating conditions and time-varying constraints by preserving its basic properties. In order to show the effectiveness of proposed approach, we show significant simulations on the P92 commercial aircraft used for general aviation purposes.