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— This paper presents a method for solving linear stochastic model predictive control (SMPC) subject to joint chance constraints. The chance constraints are decoupled using Boole's inequality and by introducing a set of unknowns representing allowable violation for each constraint (the risk). A tailored interior point method is proposed to explore the… (More)

We present the design of an analog circuit which solves linear programming (LP) or Quadratic Programming (QP) problems. In particular, the steady-state circuit voltages are the components of the LP (QP) optimal solution. The paper shows how to construct the circuit and provides a proof of equivalence between the circuit and the LP (QP) problem. The proposed… (More)

— We present the Berkeley Library for Optimization Modeling (BLOM), an open-source tool for optimization-based modeling and control formulation implemented in Simulink. The underlying structure for BLOM is a novel way of representing linear and nonlinear mathematical functions that allows for easy computation of closed form gradients, Jacobians and… (More)

— We present the design of an analog circuit which solves linear programming (LP) or Quadratic Programming (QP) problems. In particular, the steady-state circuit voltages are the components of the LP (QP) optimal solution. The proposed method is used to implement a LP-based Model Pre-dictive Controller by using an analog circuit. VLSI design of an LP… (More)

- Veronica Adetola, Sorin Bengea, Keunmo Kang, Anthony Kelman, Francesco Leonardi, Veronica Adetola +10 others
- 2014

The paper presents the development and application of Model Predictive Control (MPC) and Fault Detection and Diagnostics (FDD) technologies to a large-scale HVAC system, their on-line implementation, and results from several demonstrations. The two technologies are executed at the supervisory level in a hierarchical control architecture as extensions of a… (More)

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