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This paper deals with the problem of input-delayed robust H<sub>¿</sub> state-feedback controller design for a class of semi-active seat suspension systems with parameter uncertainties and actuator time delays. A vertical vibration model of human body is employed and put together with the plant of the seat suspension system. The controller design is cast(More)
This paper studies the problem of disturbance propagation in a string of vehicles aiming to proceed along a given trajectory while keeping a constant distance between each vehicle and its successor. It is assumed that each vehicle can control its position based on the spacing error with respect to the preceding vehicle in the string, as well as on coded(More)
This paper considers the problem of disturbance propagation in a vehicle platoon control system, where each vehicle has access to its position error relative to the preceding vehicle in the string. It is known that in such systems a small disturbance acting on one member can propagate downstream and cause large spacing errors between vehicles. A lower bound(More)
This paper considers the problem of controlling a linear time-invariant network by means of (possibly) time-varying set of control nodes. As control metric, we adopt the worst-case input energy to drive the network state from the origin to any point on the unit hypersphere in the state space. We provide a geometric interpretation of the controllability(More)
This paper considers the problem of disturbance propagation in a string of vehicles, where each vehicle has access to the position error with respect to its preceding vehicle. In addition, the followers in the string may receive coded information sent by the leader over finite capacity side channels. A lower bound on the integral of the sensitivity function(More)
We consider the problem of disturbance propagation in a control system where a group of vehicles aims to move in a formation with a tree topology. The control law at every vehicle depends on its position error with respect to its parent vehicle in the tree as well as on coded information transmitted by other vehicles across side communication channels. A(More)
This paper studies Gramian-based reachability metrics for bilinear control systems. In the context of complex networks, bilinear systems capture scenarios where an actuator not only can affect the state of a node but also interconnections among nodes. Under the assumption that the input&#x0027;s infinity norm is bounded by some function of the network(More)
This paper presents a control synthesis method for a class of semi-active seat suspension systems with input time delay, parameter uncertainties and actuator saturation. A vertical vibration model of human body is employed and put together with the plant of the seat suspension system in order to gain a better insight of the control performances. The H∞(More)
Controllability metrics based on the controllability Gramian have been widely used in linear control theory, and have recently seen renewed interests in the study of complex networks of dynamical systems. For example, the minimum eigenvalue and the trace of the Gramian are related to the worst-case and average minimum input energy, respectively, to steer(More)