With the emergence of complex process industries and wide use of computers, control systems become hybrid with increasing computational complexity. According this situation, this dissertation studies the control of hybrid systems using Mixed Logical Dynamical (MLD) theory. An improved algorithm for solving Mixed Integer Quadratic Programming (MIQP) problems is developed and then applied in predictive
(Read More…)
With the emergence of complex process industries and wide use of computers, control systems become hybrid with increasing computational complexity. According this situation, this dissertation studies the control of hybrid systems using Mixed Logical Dynamical (MLD) theory. An improved algorithm for solving Mixed Integer Quadratic Programming (MIQP) problems is developed and then applied in predictive
(Read More…)
With the emergence of complex process industries and wide use of computers, control systems become hybrid with increasing computational complexity. According this situation, this dissertation studies the control of hybrid systems using Mixed Logical Dynamical (MLD) theory. An improved algorithm for solving Mixed Integer Quadratic Programming (MIQP) problems is developed and then applied in predictive
(Read More…)
With the emergence of complex process industries and wide use of computers, control systems become hybrid with increasing computational complexity. According this situation, this dissertation studies the control of hybrid systems using Mixed Logical Dynamical (MLD) theory. An improved algorithm for solving Mixed Integer Quadratic Programming (MIQP) problems is developed and then applied in predictive
(Read More…)
With the emergence of complex process industries and wide use of computers, control systems become hybrid with increasing computational complexity. According this situation, this dissertation studies the control of hybrid systems using Mixed Logical Dynamical (MLD) theory. An improved algorithm for solving Mixed Integer Quadratic Programming (MIQP) problems is developed and then applied in predictive
(Read More…)
With the emergence of complex process industries and wide use of computers, control systems become hybrid with increasing computational complexity. According this situation, this dissertation studies the control of hybrid systems using Mixed Logical Dynamical (MLD) theory. An improved algorithm for solving Mixed Integer Quadratic Programming (MIQP) problems is developed and then applied in predictive
(Read More…)
With the emergence of complex process industries and wide use of computers, control systems become hybrid with increasing computational complexity. According this situation, this dissertation studies the control of hybrid systems using Mixed Logical Dynamical (MLD) theory. An improved algorithm for solving Mixed Integer Quadratic Programming (MIQP) problems is developed and then applied in predictive
(Read More…)
With the emergence of complex process industries and wide use of computers, control systems become hybrid with increasing computational complexity. According this situation, this dissertation studies the control of hybrid systems using Mixed Logical Dynamical (MLD) theory. An improved algorithm for solving Mixed Integer Quadratic Programming (MIQP) problems is developed and then applied in predictive
(Read More…)
With the emergence of complex process industries and wide use of computers, control systems become hybrid with increasing computational complexity. According this situation, this dissertation studies the control of hybrid systems using Mixed Logical Dynamical (MLD) theory. An improved algorithm for solving Mixed Integer Quadratic Programming (MIQP) problems is developed and then applied in predictive
(Read More…)
With the fast development of the electronic technology, the complexity of the circuit system increases sharply, more and more electric circuits include digital and analog signal simultaneously, resulting in a greater difficulty in circuit testing. The present methods to test the electric circuits are mainly for digital or analog circuits, and there are few research
(Read More…)
