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Stochastic model predictive control for LPV systems
(
Institute of Electrical and Electronics Engineers Inc.
, 2017 , Conference Paper)
This paper considers a stochastic model predictive control of linear parameter-varying (LPV) systems described by affine parameter dependent state-space representations with additive stochastic uncertainties and probabilistic ...
A Bayesian Approach for LPV Model Identification and Its Application to Complex Processes
(
Institute of Electrical and Electronics Engineers Inc.
, 2017 , Article)
Obtaining mathematical models that can accurately describe nonlinear dynamics of complex processes and be further used for model-based control design is a challenging task. In this brief, a Bayesian approach is introduced ...
Monitoring and detection of malicious adversarial zero dynamics attacks in cyber-physical systems
(
Institute of Electrical and Electronics Engineers Inc.
, 2020 , Conference Paper)
This paper is mainly concerned with monitoring and detection of zero dynamics (ZD) cyber attacks that are injected by malicious hackers and adversaries to safety critical cyber-physical systems (CPS). We consider a CPS ...
On design of nonlinear event-triggered suboptimal tracking controller
(
Institute of Electrical and Electronics Engineers Inc.
, 2017 , Conference Paper)
In this paper, using the state-dependent Riccati equation (SDRE) technique, a suboptimal control law is designed to solve the tracking problem for networked nonlinear discrete-time systems. Based on the proposed method, ...
Wavelet-based multiscale filtering of genomic data
(
IEEE Computer Society
, 2012 , Conference Paper)
Measured biological data are a rich source of information about the biological phenomena they represent. For example, time-series genomic or metabolic microarray data can be used to construct dynamic genetic regulatory ...
Intervention in biological phenomena modeled by S-systems: A model predictive control approach
(
Institute of Electrical and Electronics Engineers Inc.
, 2011 , Conference Paper)
Recent years have witnessed extensive research activity in modeling genetic regulatory networks (GRNs) as well as in developing therapeutic intervention strategies for such networks. S-systems, which offer a good compromise ...
Fuzzy intervention in biological phenomena
(
IEEE
, 2012 , Article)
An important objective of modeling biological phenomena is to develop therapeutic intervention strategies to move an undesirable state of a diseased network toward a more desirable one. Such transitions can be achieved by ...
Event-triggered based consensus of autonomous underactuated surface vessels
(
Institute of Electrical and Electronics Engineers Inc.
, 2017 , Conference Paper)
This paper is concerned with the distributed event-triggered based consensus problem of multiple underactuated surface vessels. The considered vehicles are underactuated where the number of the vehicles actuators is less ...
Optimal control of midazolam infusion for post operative patients in intensive care units
(
Wiley-Blackwell
, 2015 , Article)
The critical task of anesthesia administration demands optimal drug titration by considering patient-specific features and sedation requirements. Though there exist several sedation assessment monitors, physicians still ...
Event-triggered fault estimation and accommodation design for linear systems
(
Institute of Electrical and Electronics Engineers Inc.
, 2016 , Conference Paper)
The problem of event-triggered active fault-tolerant control (E-AFTC) of discrete-time linear systems is addressed in this paper by using an integrated design of event-triggered fault/state estimator with a fault-tolerant ...