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Predictive Control methods for Building Control and Demand Response

Tomasz Tadeusz Gorecki

This thesis studies advanced control techniques for the control of building heating and cooling systems to provide demand response services to the power network. It is divided in three parts. The first one introduces the MATLAB toolbox OpenBuild which aims ...

EPFL2017

This paper deals with a novel Plug-and-Play (PnP) architecture for the control and monitoring of Large-Scale Systems (LSSs). The proposed approach integrates a distributed Model Predictive Control (MPC) strategy with a distributed Fault Detection (FD) arch ...

2016

Distributed Modifier-Adaptation Schemes for the Real-Time Optimization of Interconnected Systems in the Presence of Structural Plant-Model Mismatch

Dominique Bonvin, René Uwe Schneider, Predrag Milosavljevic

The desire to operate chemical processes in a safe and economically optimal way has motivated the development of so-called real-time optimization (RTO) methods [1]. For continuous processes, these methods aim to compute safe and optimal steady-state set ...

2016

Applying model checking to industrial-sized PLC programs

Jean-Charles Tournier, Simon Bliudze, Borja Fernandez Adiego

Programmable Logic Controllers (PLCs) are embedded computers widely used in industrial control systems. Ensuring that a PLC software complies with its specification is a challenging task. Formal verification has become a recommended practice to ensure the ...

Institute of Electrical and Electronics Engineers2015

OpenBuild : An Integrated Simulation Environment for Building Control

Colin Neil Jones, Tomasz Tadeusz Gorecki, Faran Ahmed Qureshi

This paper introduces the OpenBuild toolbox for MATLAB. OpenBuild is a toolbox for advanced controller design for buildings heating ventilation and air conditioning systems, with emphasis on Model Predictive Control. It pro- vides researchers in the contro ...

IEEE2015

While rule based control (RBC) is current practice in most building automation systems that issue discrete control signals, recent simulation studies suggest that advanced, optimization based control methods such as hybrid model predictive control (HMPC) c ...

Elsevier2014

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Chemical incidents are typically caused by loss of control, resulting in runaway reactions or process deviations in different stages of the production. In the case of fed-batch reactors, the problem generally encountered is the accumulation of heat. This i ...

Schweizerische Chemische Gesellschaft2014

Plug-and-play fault diagnosis and control-reconfiguration for a class of nonlinear large-scale constrained systems

Giancarlo Ferrari Trecate

2014

Indirect, Non-adaptive Control of a Class of Nonlinear Uncertain Systems with Applications to Motion Control of Swimming Robots

Auke Ijspeert, Yannick Morel

Motion control of bio-inspired mobile robotic platforms can prove a challenging problem. In particular, models for the considered type of systems may prove nonlinear, uncertain, and fairly complicated. To address these issues, use of an output predictor-ba ...

Amer Soc Mechanical Engineers2013

Improving Control of Dexterous Hand Prostheses Using Adaptive Learning

Barbara Caputo, Tatiana Tommasi

At the time of writing, highly dexterous hand prostheses are being manufactured and, to some extent, marketed. This means wearable, implantable mechanical hands with many independently controllable degrees of freedom, e.g. finger flexion and thumb rotation ...

Idiap2012