53rd IEEE Conference on Decision and Control 2014
DOI: 10.1109/cdc.2014.7040092
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Joint synthesis of dynamic feed-forward and static state feedback for platoon control

Abstract: Joint synthesis of static state-feedback and dynamic feed-forward is considered for a homogenous platoon operating under the leader and predecessor following scheme. The problem is formulated with two H ∞ -type performance objectives. The first objective requires the first vehicle to respond in a desirable way to the maneuvers of the leader and it is to be realized by a joint synthesis of the feed-forward filter together with a state feedback gain. Novel LMI conditions are derived for this objective by fixing … Show more

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Cited by 3 publications
(3 citation statements)
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“…It is possible to ensure robustness against nonzero initial states by a simple additional LMI condition as we will shortly describe. When the initial state vector x i .0/ is not zero, the energy of the performance output´i will be bounded from above as in (50). In order to reduce the contribution that comes from nonzero initial states, one can consider bounding the eigenvalue of Y 1 from above by Y 1 4 2 I=ˇ2.…”
Section: Robustness Against Nonzero Initial Conditionsmentioning
confidence: 99%
See 1 more Smart Citation
“…It is possible to ensure robustness against nonzero initial states by a simple additional LMI condition as we will shortly describe. When the initial state vector x i .0/ is not zero, the energy of the performance output´i will be bounded from above as in (50). In order to reduce the contribution that comes from nonzero initial states, one can consider bounding the eigenvalue of Y 1 from above by Y 1 4 2 I=ˇ2.…”
Section: Robustness Against Nonzero Initial Conditionsmentioning
confidence: 99%
“…When considering full-order dynamic output feedback, a mixed-sensitivity H 1 synthesis becomes quite convenient [7], as well as a multi-objective synthesis based on linear matrix inequality (LMI) optimization [48]. If all states are measurable, a multi-objective state-feeback synthesis via LMI optimization as in [49,50] would be quite suitable for dealing with system uncertainties, disturbances, and communication problems. It might not be easy to enforce the string stability constraints in such a synthesis, depending on the adopted control scheme.…”
Section: Introductionmentioning
confidence: 99%
“…Such a sequential approach might lead to suboptimal design for uncertain systems as pointed out by [27] and would be quite inconvenient especially when the goal is to synthesize a parameter-dependent controller. A joint synthesis of static feedback with dynamic feedforward was considered in the previous work [9].…”
Section: Introductionmentioning
confidence: 99%