In this article, we consider the controllability of a discrete-time linear dynamical system with sparse control inputs. Sparsity constraints on input arises naturally in networked systems, where activating each variable adds to cost control. We derive algebraic necessary and sufficient conditions for ensuring an arbitrary transfer matrix. The derived can be verified polynomial time complexity, ...

We present a tool which helps domain experts capture and maintain constraints. The tool displays parts of an ontology (as classes, sub-classes and properties) in the form of a tree. A number of keywords and operators from a constraint language are also listed. The tool helps a user to create a constraint expression. Additionally, the tool has a facility which allows the user to input tabular da...

This paper develops an automatic parking algorithm based on a fuzzy logic controller with the vehicle pose for the input and the steering angle for the output. In this way some feasible reference trajectory path have been introduced according to geometric and kinematic constraints and nonholonomic constraints to simulate motion path of car. Also a novel method is used for parking space detec...

We consider the control of an unstable LTI system with a constraint on the control input. We show that for every compact subset of the null-controllable region of the system, we can constructively design a nonlinear state feedback controller which ensures the internal exponential stability of the closed loop system, i.e., the state and control signals go to zero exponentially, for every initial...

Compared with current high-performance computing (HPC) systems, exascale systems are expected to have much less memory per node, which can significantly reduce necessary collective input/output (I/O) performance. In this study, we introduce a memory-conscious collective I/O strategy that takes into account memory capacity and bandwidth constraints. The new strategy restricts aggregation data tr...