An OL(n3) primal interior point algorithm for convex quadratic programming
Mathematical Programming: Series A and B
Computation and action under bounded resources
Computation and action under bounded resources
A probabilistic performance metric for real-time system design
CODES '99 Proceedings of the seventh international workshop on Hardware/software codesign
Feedback–Feedforward Scheduling of Control Tasks
Real-Time Systems
Handling Execution Overruns in Hard Real-Time Control Systems
IEEE Transactions on Computers
Proceedings of the 1994 International Conference on Parallel and Distributed Systems
Applying imprecise algorithms to real-time image and video transmission
RTAS '95 Proceedings of the Real-Time Technology and Applications Symposium
On task schedulability in real-time control systems
RTSS '96 Proceedings of the 17th IEEE Real-Time Systems Symposium
Scheduling Tasks with Markov-Chain Based Constraints
ECRTS '05 Proceedings of the 17th Euromicro Conference on Real-Time Systems
Examples when nonlinear model predictive control is nonrobust
Automatica (Journal of IFAC)
Brief Nonlinear model predictive control with polytopic invariant sets
Automatica (Journal of IFAC)
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We consider an anytime control algorithm for the situation when the processor resource availability is time-varying. The basic idea is to calculate the components of the control input vector sequentially to maximally utilize the processing resources available at every time step. Thus, the system evolves as a discrete time hybrid system with the particular mode active at any time step being dictated by the processor availability. We extend our earlier work to consider the sequence in which the control inputs are calculated as a variable. In particular, we propose stochastic decision rules in which the inputs are chosen according to a Markov chain. For the LQG case, we present a Markovian jump linear system based formulation that provides analytical performance and stability expressions. For more general cases, we present a receding horizon control based implementation and illustrate the increase in performance through simulations.