73 research outputs found
Computation of the maximal invariant set of discrete-time linear systems subject to a class of non-convex constraints
We consider the problem of computing the maximal invariant set of
discrete-time linear systems subject to a class of non-convex constraints that
admit quadratic relaxations. These non-convex constraints include semialgebraic
sets and other smooth constraints with Lipschitz gradient. With these quadratic
relaxations, a sufficient condition for set invariance is derived and it can be
formulated as a set of linear matrix inequalities. Based on the sufficient
condition, a new algorithm is presented with finite-time convergence to the
actual maximal invariant set under mild assumptions. This algorithm can be also
extended to switched linear systems and some special nonlinear systems. The
performance of this algorithm is demonstrated on several numerical examples.Comment: Accepted in Automatic
A Heuristic Scheduler for Port-Constrained Floating-Point Pipelines
We describe a heuristic scheduling approach for optimizing floating-point pipelines subject to input port constraints. The objective of our technique is to maximize functional unit reuse while minimizing the following performance metrics in the generated circuit: (1) maximum multiplexer fanin, (2) datapath fanout, (3) number of multiplexers, and (4) number of registers. For a set of systems biology markup language (SBML) benchmark expressions, we compare the resource usages given by our method to those given by a branch-and-bound enumeration of all valid schedules. Compared with the enumeration results, our heuristic requires on average 33.4% less multiplexer bits and 32.9% less register bits than the worse case, while only requiring 14% more multiplexer bits and 4.5% more register bits than the optimal case. We also compare our results against those given by the state-of-art high-level synthesis tool Xilinx AutoESL. For the most complex of our benchmark expressions, our synthesis technique requires 20% less FPGA slices than AutoESL
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