mpcverbosity off;                           % turn off mpc messages

% create plant model
plant = rss(4,4,4);                         % random state space
plant.D = 0;                                % set D matrix to zero

% set signals type in plant model
plant = setmpcsignals(plant,'MV',1,'MD',3,'UD',4,'MO',1,'UO',[3 4]);

% create MPC object
mpcobj=mpc(plant,1);                        % sampling time = 1 second

% set input signal names
setname(mpcobj,'input',1,'Jim')            % set name of first input signal
setname(mpcobj,'input',2,'Joe')            % set name of second input signal
setname(mpcobj,'input',3,'Jeff')           % set name of third input signal

% get input signal names
getname(mpcobj,'input',2)                   % get name of second input signal
ans =
    'Joe'

% alternatively
mpcobj.ManipulatedVariables(2).Name
ans =
    'Joe'

mpcobj.DisturbanceVariables(1).Name
ans =
    'Jeff'

mpcobj.Model.Plant.InputName{3}
ans =
    'Jeff'

mpcobj.Model.Plant.InputName
ans =
  4×1 cell array
    {'Jim' }
    {'Joe' }
    {'Jeff'}
    {'UD1' }

% set output signal names
setname(mpcobj,'output',1,'Laura')           % set name of first output signal
setname(mpcobj,'output',2,'Diana')           % set name of second output signal
setname(mpcobj,'output',3,'Emily')           % set name of third output signal

% get output signal names
getname(mpcobj,'output',2)                   % get name of second input signal
ans =
    'Diana'

% alternatively
mpcobj.OutputVariables(2).Name
ans =
    'Diana'

mpcobj.Model.Plant.OutputName{2}
ans =
    'Diana'

mpcobj.Model.Plant.OutputName
ans =
  4×1 cell array
    {'Laura'}
    {'Diana'}
    {'Emily'}
    {'UO2'  }