This paper details nonlinear Model-based Predictive Control (MPC) algorithms for MIMO processes modelled by means of neural networks of a feedforward structure. Two general MPC techniques are considered: the one with Nonlinear Optimisation (MPC-NO) and the one with Nonlinear Prediction and Linearisation (MPC-NPL). In the first case a nonlinear optimisation problem is solved in real time on-line...

An increasing number of applications ranging from multi-vehicle systems, largescale process control systems, transportation systems to smart grids call for the development of cooperative control theory. Meanwhile, when designing the cooperative controller, the state and control constraints, ubiquitously existing in the physical system, have to be respected. Model predictive control (MPC) is one...

The focus of this chapter is on MPC of constrained dynamic systems, both linear and nonlin‐ ear, to illuminate the ability of MPC to handle constraints that makes it so attractive to in‐ dustry. We first give an overview of the origin of MPC and introduce the definitions, characteristics, mathematical formulation and properties underlying the MPC. Furthermore, MPC methods for linear or nonlinea...

This paper presents an analysis of the continuous stirred tank reactor (CSTR) temperature control with Proportional-Integral-Derivative (PID) Controller, Model Predictive Controller (MPC) and Hybrid-Model Controller-Proportional Integral Derivative (MPC-PID). It is main goal this project to find a suitable improvement strategy for system’s stability accuracy be more stable. By creating model, s...

External bonding of carbon fiber sheets has become a popular technique for strengthening concrete structures all over the world. Epoxy adhesive, which is used to bond the carbon fiber sheets and concrete, deteriorates rapidly when being exposed to high temperatures. This paper presents a high-temperature-resistant modified magnesia-phosphate cement (MPC) with the compressive strength that does ...

An artificial pancreatic β-cell based on multipartite zone model predictive control (Multi-Zone-MPC) is evaluated on the UVa FDA-accepted metabolic simulator. Multi-Zone-MPC provides different tunings for the MPC weights based on four regions of glycemia: hypoglycemia, normoglycemia, elevated glycemia, and hyperglycemia. Defining these four zones provides richer control tunings that result in s...

This paper proposes an MPC - based (model predictive control) scheme to control active and reactive powers of DERs (distributed energy resources) in a grid - connected mode (either through a bus with its associated loads as a PCC (point of common coupling) or an MG (micro - grid)). DER may be a DG (distributed generation) or an ESS (energy storage system). In the proposed scheme, the set - poin...

Atrophy of skeletal muscle leads to decreases in myofiber size and nuclear number; however, the effects of atrophic conditions on muscle precursor cells (MPC) are largely unknown. MPC lie outside myofibers and represent the main source of additional myonuclei necessary for muscle growth and repair. In the present study, we examined the properties of MPC after hindlimb suspension (HS)-induced at...

Protocols for secure multi-party computation (MPC) that resist a dishonest majority are susceptible to “denial of service” attacks, allowing even a single malicious party to force the protocol to abort. In this work, we initiate a systematic study of the more robust notion of security with identifiable abort, which leverages the effect of an abort by forcing, upon abort, at least one malicious ...

I compare the density profile of dark matter (DM) halos in cold dark matter (CDM) N-body simulations with 1 h Mpc, 32 h Mpc, 256 h Mpc and 1024 h Mpc box sizes. I compare the profiles when the most massive halos are composed of about 10 DM particles. The DM density profiles of the halos in the 1 h Mpc box at redshift z ∼ 10 show systematically shallower cores with respect to the corresponding h...